A Coefficient of Agreement for Nominal Scales

1960/04/01 by Jacob Cohen · 41,705 citations
Decision Sciences · Mathematics · #Mathematics #Multi-Criteria Decision Making #Reliability and Agreement in Measurement #Statistics

paper · doi:10.1177/001316446002000104

published in Educational and Psychological Measurement 20(1), 37-46 (SAGE Publishing)

openalex publication_date 1960/04/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05

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• Identifying deep leverage points to destabilize ‘lock-in’ and empower farmers in the Midwestern agrifood system
• SimuHome: A Temporal- and Environment-Aware Benchmark for Smart Home LLM Agents
• A bot identification model and tool based on GitHub activity sequences
• Beyond kappa: A review of interrater agreement measures
• Moving towards Europe-wide freshwater restoration through model-based integration of policy objectives
• Revisiting Maturity Data: Using Oocyte Diameter and Gonadosomatic Index to Retroactively Apply a New Maturity Scale to Greenland Halibut ( Reinhardtius hippoglossoides )
• Deteção de estruturas permanentes a partir de dados de séries temporais Sentinel 1 e 2
• Building work engagement: A systematic review and meta‐analysis investigating the effectiveness of work engagement interventions
• MASH: A Multiplatform and Multimodal Annotated Dataset for Societal Impact of Hurricane
• Open-DeBias: Toward Mitigating Open-Set Bias in Language Models
• What does it mean to be European? How identity content shapes adolescent's views towards immigrants and support for the EU
• Liaozhai through the Looking-Glass: On Paratextual Explicitation of Culture-Bound Terms in Machine Translation
• Bridging science and society: Developing a citizen science biomonitoring approach for river ecosystems in Italy
• Identification of a 10-species microbial signature of inflammatory bowel disease by machine learning and external validation
• Examining the Influence of Different Inventories on Shallow Landslide Susceptibility Modeling: An Assessment Using Machine Learning and Statistical Approaches
• Comparison between Dense L-Band and C-Band Synthetic Aperture Radar (SAR) Time Series for Crop Area Mapping over a NISAR Calibration-Validation Site
• Could you teach new tricks to old dogs? An analysis of online communication of political leaders in Spanish regional elections
• Do 14–17-month-old infants use iconic speech and gesture cues to interpret word meanings?
• LLMs Behind the Scenes: Enabling Narrative Scene Illustration
• Consider the following: A pilot study of the effects of an educational television program on viewer perceptions of anthropogenic climate change and ocean acidification
• Environmental constraints shaping constituent order in emerging communication systems: Structural iconicity, interactive alignment and conventionalization
• A Machine Learning Framework for Predicting and Understanding the Canadian Drought Monitor
• Personality and prosocial behavior: A theoretical framework and meta-analysis.
• The double‐edged sword of CEO narcissism: A meta‐analysis of innovation and firm performance implications
• Addressing Failing Water Systems: A Qualitative Protocol for Intervention Research on Water Insecurity
• Different gazes and hands: Visual representations of causes and solutions of adolescent depression on Chinese state media social platforms
• Building a Pilot Software Quality-in-Use Benchmark Dataset
• TrueGradeAI: Retrieval-Augmented and Bias-Resistant AI for Transparent and Explainable Digital Assessments
• Do LLM Agents Know How to Ground, Recover, and Assess? A Benchmark for Epistemic Competence in Information-Seeking Agents
• ASSESS: A Semantic and Structural Evaluation Framework for Statement Similarity
• ReviewScore: Misinformed Peer Review Detection with Large Language Models
• Acoustic-based Gender Differentiation in Speech-aware Language Models
• Human-AI Narrative Synthesis to Foster Shared Understanding in Civic Decision-Making
• AutoSpec: An Agentic Framework for Automatically Drafting Patent Specification
• Reverse Engineering User Stories from Code using Large Language Models
• Beyond Similarity: Grounded Agentic Extraction and Expert-Adjudicated Evaluation of Intertextuality in Classical Chinese Histories
• Hallucination‐Free? Assessing the Reliability of Leading AI Legal Research Tools
• A Closer Look at Classification Evaluation Metrics and a Critical Reflection of Common Evaluation Practice
• Gender Discrimination in the Visual Representation of Athletes on the Official Instagram Accounts of Sports Federations in Indonesia
• Land Use and Land Cover Change in the Shafarood Watershed, Northern Iran (2000–2020): A Case Study Using Landsat Imagery and Support Vector Machine Classification
• A systematic review of echo chamber research: comparative analysis of conceptualizations, operationalizations, and varying outcomes
• Challenges in annotations by humans and LLMs: A case study of evaluative language
• Associations of Physician Empathy with Patient Anxiety and Ratings of Communication in Hospital Admission Encounters
• Open Security Benchmark: Towards Autonomous Enterprise Cyber Defense
• Consonant articulation accuracy in paediatric cochlear implant recipients
• GeDi: Simplifying Gene Set Distances for Enhanced Omics Interpretation in R/Bioconductor
• Large language models as first-pass filters for corpus annotation: semantic disambiguation of Galician pobo
• Continued use of retracted papers: Temporal trends in citations and (lack of) awareness of retractions shown in citation contexts in biomedicine
• Subjective assessment of adnexal masses with the use of ultrasonography: an analysis of interobserver variability and experience
• From pixels to peaks: integrating LiDAR and RGB drone imagery to map mussel spat on intertidal rocky shores
• The Chrysalis Effect
• Impact of schematic representations of road maps on pedestrian route planning
• Sentinel-2 satellite image application for establishing a coral reef distribution map in Bai Tu Long National Park, Quang Ninh Province, Vietnam
• Measuring and comparing the accuracy of species distribution models with presence–absence data
• How Sexual Consent is Portrayed in Sex Comics (Eromanga): A Content Analysis in Japan
• Assessing the Cross-Version Applicability of Java Library Vulnerability Exploits
• Comparing Clinical, Microbiological, and Genetic Definitions of Relapse in Patients With Subsequent Episodes of Methicillin-resistant Staphylococcus aureus Bone and Joint Infection
• Impact of interaction with an architectural example on design behavior in student teams
• Ictal emotional features in pediatric and young adult patients with frontal lobe epilepsy
• A custom‐built single‐channel in‐ear electroencephalography sensor for sleep phase detection: an interdependent solution for at‐home sleep studies
• The impact and return-on-investment of evidence-based practice in conservation and environmental management: A machine learning-assisted scoping review protocol
• Annotation of biological samples data to standard ontologies with support from large language models
• A systematic review and meta-analysis of interventions that target the intersection of body image and movement among girls and women
• The value of small forest fragments and urban tree canopy for Neotropical migrant birds during winter and migration seasons in Latin American countries: A systematic review
• Evaluating ChatGPT, Gemini and other Large Language Models (LLMs) in orthopaedic diagnostics: A prospective clinical study
• Integrating climate indices and land use practices for comprehensive drought monitoring in Syria: Impacts and implications
• Reusability of Bayesian Networks case studies: a survey
• The impact of rapport on intelligence yield: police source handler telephone interactions with covert human intelligence sources
• Examining item content across nine psychological (in)flexibility scales: What do they measure?
• The effect of reward value on the performance of long-tailed macaques (Macaca fascicularis) in a delay of gratification exchange task
• Demographically-Inspired Query Variants Using an LLM
• Toward Understanding Free‐Flowing Manual Object Contact: Real‐Time Interaction Between Body Position and Object Type in 9‐Month‐Olds
• Machine learning-based ensemble species distribution models to guide monitoring and survey design for offshore wind
• Evidence on the effects of flame retardant substances at ecologically relevant endpoints: a systematic map protocol
• Clustering longitudinal data: comparison of model-based and distance-based approaches using simulated and real-world data in psychiatric research
• Machine learning predictive modelling for sediment risk indices within an urbanized river channel
• Evaluation of Remotely Sensed Inundation Data Sets to Estimate Flood‐Associated Emergency Department Visits After Hurricane Harvey
• Identifying suitable habitats under climate change for non-targeted demersal fish in the Mediterranean Sea
• Doctoral Education Trends: Content Analyses of Dissertations and Job Postings
• Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images
• Automatic sampling and training method for wood-leaf classification based on tree terrestrial point cloud
• Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading from Plain Radiographs
• Telephone versus In-Person Clinical and Health Status Assessment Interviews in Patients with Bipolar Disorder
• Longitudinal Analysis of Discussion Topics in an Online Breast Cancer Community using Convolutional Neural Networks
• Advanced, Analytic, Automated (AAA) Measurement of Engagement During Learning
• MedFact: A Large-scale Chinese Dataset for Evidence-based Medical Fact-checking of LLM Responses
• Robustness and Reliability of Gender Bias Assessment in Word Embeddings: The Role of Base Pairs
• Psychometric properties of the EQ-5D-5L: a systematic review of the literature
• Mental Multi-class Classification on Social Media: Benchmarking Transformer Architectures against LSTM Models
• SciEvent: Benchmarking Multi-domain Scientific Event Extraction
• RulER: Automated Rule-Based Semantic Error Localization and Repair for Code Translation
• Position: Thematic Analysis of Unstructured Clinical Transcripts with Large Language Models
• A Study on Thinking Patterns of Large Reasoning Models in Code Generation
• Development of a Structured Psychiatric Interview for Children: Agreement Between Child and Parent on Individual Symptoms
• Annotating Training Data for Conditional Semantic Textual Similarity Measurement using Large Language Models
• Crash Report Enhancement with Large Language Models: An Empirical Study
• When Large Language Models Meet UAV Projects: An Empirical Study from Developers' Perspective
• Accelerating Discovery: Rapid Literature Screening with LLMs
• Determinants of Entrepreneurial Intent: A Meta–Analytic Test and Integration of Competing Models
• A New Statistical Approach for Comparing Algorithms for Lexicon Based Sentiment Analysis
• A Simple and Efficient Multi-Task Learning Approach for Conditioned Dialogue Generation
• Obsessive-Compulsive Personality Disorder Co-occurring in Individuals with Obsessive-Compulsive Disorder: A Systematic Review and Meta-analysis
• Interactive Task and Concept Learning from Natural Language Instructions and GUI Demonstrations
• Few-NERD: A Few-Shot Named Entity Recognition Dataset
• Measuring Whiteness: A Systematic Review of Instruments and Call to Action
• Ensemble Pruning via Margin Maximization
• LLM-as-a-Judge: Rapid Evaluation of Legal Document Recommendation for Retrieval-Augmented Generation
• An Attention-Based Deep Learning Approach for Sleep Stage Classification With Single-Channel EEG
• TREMO: A dataset for emotion analysis in Turkish
• Auto-Slides: An Interactive Multi-Agent System for Creating and Customizing Research Presentations
• Humanizing Automated Programming Feedback: Fine-Tuning Generative Models with Student-Written Feedback
• My Favorite Streamer is an LLM: Discovering, Bonding, and Co-Creating in AI VTuber Fandom
• Venture capitalists' decision criteria in new venture evaluation
• r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection
• Examining teaching assistant pedagogies in traditional laboratories and recitations
• Calibrating MLLM-as-a-judge via Multimodal Bayesian Prompt Ensembles
• Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation
• An Alternative Measure of Effect Size for Cochran's Q Test for Related Proportions
• RADAR: A Reasoning-Guided Attribution Framework for Explainable Visual Data Analysis
• Fear of the coronavirus (COVID-19): Predictors in an online study conducted in March 2020
• What Were You Thinking? An LLM-Driven Large-Scale Study of Refactoring Motivations in Open-Source Projects
• GitHub Copilot AI pair programmer: Asset or Liability?
• MS2: Multi-Document Summarization of Medical Studies
• From Vision to Validation: A Theory- and Data-Driven Construction of a GCC-Specific AI Adoption Index
• Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy
• What if I ask in alia lingua? Measuring Functional Similarity Across Languages
• Towards generalisable hate speech detection: a review on obstacles and solutions
• The Impact of Critique on LLM-Based Model Generation from Natural Language: The Case of Activity Diagrams
• Automatic evaluation of reading aloud performance in children
• Resilients, Overcontrollers, and Undercontrollers: The replicability of the three personality prototypes across informants
• StableSleep: Source-Free Test-Time Adaptation for Sleep Staging with Lightweight Safety Rails
• Understanding Architecture Erosion: The Practitioners' Perceptive
• DynaGuard: A Dynamic Guardian Model With User-Defined Policies
• ABCD-LINK: Annotation Bootstrapping for Cross-Document Fine-Grained Links
• Understanding Code Understandability Improvements in Code Reviews
• Flaw or Artifact? Rethinking Prompt Sensitivity in Evaluating LLMs
• Towards Emotional Support Dialog Systems
• Partial success in closing the gap between human and machine vision
• A Benchmark for Modeling Violation-of-Expectation in Physical Reasoning Across Event Categories
• Using technology in special education: current practices and trends
• Automated Test Validators for Flaky Cyber-Physical System Simulators: Approach and Evaluation
• Automated Quality Assessment for LLM-Based Complex Qualitative Coding: A Confidence-Diversity Framework
• Guidelines for Empirical Studies in Software Engineering involving Large Language Models
• Inference Gap in Domain Expertise and Machine Intelligence in Named Entity Recognition: Creation of and Insights from a Substance Use-related Dataset
• Multimodal Emotion-Cause Pair Extraction in Conversations
• Understanding the role of single-board computers in engineering and computer science education: A systematic literature review
• Mapping Toxic Comments Across Demographics: A Dataset from German Public Broadcasting
• MAVEN: A Massive General Domain Event Detection Dataset
• Are Companies Taking AI Risks Seriously? A Systematic Analysis of Companies' AI Risk Disclosures in SEC 10-K forms
• M3HG: Multimodal, Multi-scale, and Multi-type Node Heterogeneous Graph for Emotion Cause Triplet Extraction in Conversations
• LiveMCP-101: Stress Testing and Diagnosing MCP-enabled Agents on Challenging Queries
• Toward Responsible ASR for African American English Speakers: A Scoping Review of Bias and Equity in Speech Technology
• Counterspeech for Mitigating the Influence of Media Bias: Comparing Human and LLM-Generated Responses
• Don't Think Twice! Over-Reasoning Impairs Confidence Calibration
• EmoTale: An Enacted Speech-emotion Dataset in Danish
• Temperature-Dependent Evolutionary Speed Shapes the Evolution of Biodiversity Patterns Across Tetrapod Radiations
• Real-Time Classification of Twitter Trends
• Improving K-12 Teachers’ Acceptance of Open Educational Resources by Open Educational Practices: A Mixed Methods Inquiry
• Towards Automatic Bot Detection in Twitter for Health-related Tasks
• Trouble when they walk in? Candidates, dark personality, and attack behavior in German televised debates
• The component structure of memory during development.
• Inter-rater Reliability of the Modified Japanese Orthopedic Association Score in Degenerative Cervical Myelopathy
• A First Look at Bugs in LLM Inference Engines
• An interpretable semi-supervised classifier using two different strategies for amended self-labeling
• Defects4Log: Benchmarking LLMs for Logging Code Defect Detection and Reasoning
• Psychedelic therapy for smoking cessation: Qualitative analysis of participant accounts
• Clustering of Social Media Messages for Humanitarian Aid Response during Crisis
• Case study: Mapping potential informal settlements areas in Tegucigalpa with machine learning to plan ground survey
• Lost in Moderation: How Commercial Content Moderation APIs Over- and Under-Moderate Group-Targeted Hate Speech and Linguistic Variations
• Sensitivity toward dark matter annihilation imprints on 21-cm signal with SKA-Low: A convolutional neural network approach
• Planner-Refiner: Dynamic Space-Time Refinement for Vision-Language Alignment in Videos
• BharatBBQ: A Multilingual Bias Benchmark for Question Answering in the Indian Context
• The dire disregard of measurement invariance testing in psychological science.
• Alcohol‐cancer risk communication on social media: A content analysis of alcohol‐related Instagram and TikTok posts
• Clinical Utility of the Automatic Phenotype Annotation in Unstructured Clinical Notes: ICU Use Cases
• Examining the Association Between Internet Use and Perceived Stress in Adults: Longitudinal Observational Study Combining Web Tracking Data With Questionnaires
• Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software
• Scaling Success: A Systematic Review of Peer Grading Strategies for Accuracy, Efficiency, and Learning in Contemporary Education
• Understanding Inconsistent State Update Vulnerabilities in Smart Contracts
• Variable selection via knockoffs in missing data settings with categorical predictors
• Do Ethical AI Principles Matter to Users? A Large-Scale Analysis of User Sentiment and Satisfaction
• FineDialFact: A benchmark for Fine-grained Dialogue Fact Verification
• How Do LLMs Persuade? Linear Probes Can Uncover Persuasion Dynamics in Multi-Turn Conversations
• An Overview of 7726 User Reports: Uncovering SMS Scams and Scammer Strategies
• Finding Needles in Images: Can Multimodal LLMs Locate Fine Details?
• An ML-based Approach to Predicting Software Change Dependencies: Insights from an Empirical Study on OpenStack
• I Think, Therefore I Am Under-Qualified? A Benchmark for Evaluating Linguistic Shibboleth Detection in LLM Hiring Evaluations
• Beneath the Surface of the Sexual Harassment Label: A Mixed Methods Study of Young Working Women
• Fostering argumentative knowledge construction through enactive role play in Second Life
• Towards Transparent AI Grading: Semantic Entropy as a Signal for Human-AI Disagreement
• Are Today's LLMs Ready to Explain Well-Being Concepts?
• Explainable Deep Neural Network for Multimodal ECG Signals: Intermediate vs Late Fusion
• From App Features to Explanation Needs: Analyzing Correlations and Predictive Potential
• Argument Quality Annotation and Gender Bias Detection in Financial Communication through Large Language Models
• Psychological safety in software workplaces: A systematic literature review
• Understanding Prediction Discrepancies in Machine Learning Classifiers
• An Effective Entropy-assisted Mind-wandering Detection System with EEG Signals based on MM-SART Database
• Cross-lingual Opinions and Emotions Mining in Comparable Documents
• Understanding environmental tweets of for-profits and nonprofits and their effects on user responses
• PunchPulse: A Physically Demanding Virtual Reality Boxing Game Designed with, for and by Blind and Low-Vision Players
• A Confidence-Diversity Framework for Calibrating AI Judgement in Accessible Qualitative Coding Tasks
• EHSAN: Leveraging ChatGPT in a Hybrid Framework for Arabic Aspect-Based Sentiment Analysis in Healthcare
• Toward Using Machine Learning as a Shape Quality Metric for Liver Point Cloud Generation
• A Methodological Framework for LLM-Based Mining of Software Repositories
• MCeT: Behavioral Model Correctness Evaluation using Large Language Models
• NyayaRAG: Realistic Legal Judgment Prediction with RAG under the Indian Common Law System
• Robust Collaborative Learning of Patch-level and Image-level Annotations for Diabetic Retinopathy Grading from Fundus Image
• BigTokDetect: A Clinically-Informed Vision-Language Modeling Framework for Detecting Pro-Bigorexia Videos on TikTok
• Stakeholder engagement and dialogic accounting
• Helping or Homogenizing? GenAI as a Design Partner to Pre-Service SLPs for Just-in-Time Programming of AAC
• AgriEval: A Comprehensive Chinese Agricultural Benchmark for Large Language Models
• How Growing Toxicity Manifests: A Topic Trajectory Analysis of U.S. Immigration Discourse on Social Media
• Towards Recognizing Phrase Translation Processes: Experiments on English-French
• STARN-GAT: A Multi-Modal Spatio-Temporal Graph Attention Network for Accident Severity Prediction
• Named Entities in Medical Case Reports: Corpus and Experiments
• An Inventory of Preposition Relations
• A mixed method study of DevOps challenges
• A study on cost behaviors of binary classification measures in class-imbalanced problems
• Social perception in negotiation
• Causal relatedness and importance of story events
• What Makes Code Generation Ethically Sourced?
• RoD-TAL: A Benchmark for Answering Questions in Romanian Driving License Exams
• Using Under-trained Deep Ensembles to Learn Under Extreme Label Noise
• Schedule for Affective Disorders and Schizophrenia for School-Age Children-Present and Lifetime Version (K-SADS-PL): Initial Reliability and Validity Data
• ShEMO -- A Large-Scale Validated Database for Persian Speech Emotion Detection
• Significance Tests for the Measure of Raw Agreement
• Dutch General Public Reaction on Governmental COVID-19 Measures and Announcements in Twitter Data
• Multimodal Behavioral Patterns Analysis with Eye-Tracking and LLM-Based Reasoning
• Who shapes crisis communication on Twitter? An analysis of influential German-language accounts during the COVID-19 pandemic
• Multi-Year Evaluations of an FTA Card–Based Detection Protocol for Four Vector-Borne Viruses Affecting Potato
• Combining participatory and modeling approaches to investigate factors and drivers of soil erosion risk in mixed crop-livestock farms
• Neural networks with divisive normalization for image segmentation
• Validating telehealth assessment of physical concussion symptoms
• Beyond Accuracy: Ecological Validity of Machine Learning Models for Assessing Vegetation Conservation Classes in South Korea
• Systematic classification differences across eye movement detection algorithms
• Prevalence and Spirometric Transitions of PRISm and Obstruction: A Population‐Based Study
• A systematic review of latent class analysis in psychology: Examining the gap between guidelines and research practice
• Screening for REM Sleep Behaviour Disorder with Minimal Sensors
• CatSIM: A Categorical Image Similarity Metric
• Snow cover dynamics: an overlooked yet important feature of winter bird occurrence and abundance across the United States
• Hierarchical method for cataract grading based on retinal images using improved Haar wavelet
• The neural correlates of pain-related fear: A meta-analysis comparing fear conditioning studies using painful and non-painful stimuli
• Friendships are flexible, not fragile: Turning points in geographically-close and long-distance friendships
• Quantity and quality of parental language input to late-talking toddlers during play
• Lexico-semantic and affective modelling of Spanish poetry: A semi-supervised learning approach
• What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning
• Don't forget your classics: Systematizing 45 years of Ancestry for Security API Usability Recommendations
• Review on Requirements Modeling and Analysis for Self-Adaptive Systems: A Ten-Year Perspective
• Evaluating the ability of habitat suitability models to predict species presences
• Policy-Grounded Safety Evaluation of 20 Large Language Models
• Assessing the Reliability of Large Language Models for Deductive Qualitative Coding: A Comparative Study of ChatGPT Interventions
• Assessing Post Deletion in Sina Weibo: Multi-modal Classification of Hot Topics
• From Text to Codings
• Reproducibility of Machine Learning-Based Fault Detection and Diagnosis for HVAC Systems in Buildings: An Empirical Study
• DRAFT-What you always wanted to know but could not find about block-based environments
• CPC-CMS: Cognitive Pairwise Comparison Classification Model Selection Framework for Document-level Sentiment Analysis
• Hallucination Score: Towards Mitigating Hallucinations in Generative Image Super-Resolution
• On the Effectiveness of LLM-as-a-judge for Code Generation and Summarization
• A framework for reliable traffic surrogate safety assessment based on multi-object tracking data
• A protocol for evaluating AI chatbots’ capabilities for low-resource language teachers
• Use of artificial intelligence to support the assessment of the methodological quality of systematic reviews
• Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media
• Automatically assessing oral narratives of Afrikaans and isiXhosa children
• Towards Better Requirements from the Crowd: Developer Engagement with Feature Requests in Open Source Software
• Content Analysis in Mass Communication: Assessment and Reporting of Intercoder Reliability
• Temporal Stability of Heavy Drinking Days and Drinking Reductions Among Heavy Drinkers in the COMBINE Study
• Diagnostic reliability of the Semi-structured Assessment for Drug Dependence and Alcoholism (SSADDA)
• ANLIzing the Adversarial Natural Language Inference Dataset
• CD2CR: Co-reference Resolution Across Documents and Domains
• Meta‐analysis reveals that the effects of precipitation change on soil and litter fauna in forests depend on body size
• Novel Antischistosomal Drug Targets: Identification of Alkaloid Inhibitors of SmTGR via Integrated In Silico Methods
• Concordance between FVC and FEV 6 for identifying chronic airflow obstruction and spirometric restriction in the Burden of Obstructive Lung Disease (BOLD) study
• Macular OCT Classification Using a Multi-Scale Convolutional Neural Network Ensemble
• Security Smells in Ansible and Chef Scripts: A Replication Study
• A nonparametric Bayesian test of dependence
• Development of a qualitative data analysis codebook for peri‐ictal behavior in suspected functional seizures
• Tracking Sumatran Tiger (Panthera tigris sumatrae Pocock, 1929) distribution in Gunung Leuser National Park: The influence of prey presence and environmental variables on habitat selection
• Evaluation of Facebook as a Longitudinal Data Source for Parkinson’s Disease Insights
• A Dataset of General-Purpose Rebuttal
• Ranking Computer Vision Service Issues using Emotion
• Identifying Morality Frames in Political Tweets using Relational Learning
• Empirical studies of agile software development: A systematic review
• Mental Models of Adversarial Machine Learning
• Internal Value Alignment in Large Language Models through Controlled Value Vector Activation
• A training programme for early-stage researchers that focuses on developing personal science outreach portfolios
• Dr.Copilot: A Multi-Agent Prompt Optimized Assistant for Improving Patient-Doctor Communication in Romanian
• The Eighth Dialog System Technology Challenge
• Is Quantization a Deal-breaker? Empirical Insights from Large Code Models
• THAI Speech Emotion Recognition (THAI-SER) corpus
• From Research to Resources: Assessing Student Understanding and Skills in Quantum Computing
• ProactiveVideoQA: A Comprehensive Benchmark Evaluating Proactive Interactions in Video Large Language Models
• SPICE: An Automated SWE-Bench Labeling Pipeline for Issue Clarity, Test Coverage, and Effort Estimation
• Enhancing Essay Cohesion Assessment: A Novel Item Response Theory Approach
• Measuring Hypothesis Testing Errors in the Evaluation of Retrieval Systems
• Quantifying Uncertainty in Error Consistency: Towards Reliable Behavioral Comparison of Classifiers
• A proposal and assessment of an improved heuristic for the Eager Test smell detection
• EduCoder: An Open-Source Annotation System for Education Transcript Data
• Improving Label Quality by Jointly Modeling Items and Annotators
• A versatile index to characterize hysteresis between hydrological variables at the runoff event timescale
• WSCoach: Wearable Real-time Auditory Feedback for Reducing Unwanted Words in Daily Communication
• SymbolicThought: Integrating Language Models and Symbolic Reasoning for Consistent and Interpretable Human Relationship Understanding
• ScopeJudge: Cost-Aware Pre-Execution Gating for Offensive Security Agents
• A Structured Learning Approach with Neural Conditional Random Fields for Sleep Staging
• Agreement Metrics for LLM-as-Judge Evaluation: What to Report and Why
• Leveraging Information Technology Infrastructure to Facilitate a Firm's Customer Agility and Competitive Activity: An Empirical Investigation
• Intraclass Correlation Coefficient (ICC): A Framework for Monitoring and Assessing Performance of Trained Sensory Panels and Panelists
• Weakly Supervised Learning of Nuanced Frames for Analyzing Polarization in News Media
• An Investigation of Posttraumatic Stress Disorder and Depressive Symptomatology among Female Victimsof Interpersonal Trauma
• Do LLMs Hold Their Values? MANTA: A Multi-Turn Adversarial Benchmark for Animal Welfare Reasoning
• Sustainability Flags for the Identification of Sustainability Posts in Q&A Platforms
• Predicting the Transition from Short-term to Long-term Memory based on Deep Neural Network
• MedVAL: Toward Expert-Level Medical Text Validation with Language Models
• Sentinel SAR-optical fusion for crop type mapping using deep learning and Google Earth Engine
• Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models
• HCqa: Hybrid and Complex Question Answering on Textual Corpus and Knowledge Graph
• Evaluating the Effectiveness of Direct Preference Optimization for Personalizing German Automatic Text Simplifications for Persons with Intellectual Disabilities
• MRI can assess glenoid bone loss after shoulder luxation: inter- and intra-individual comparison with CT
• Recommending Variable Names for Extract Local Variable Refactorings
• Relevance of Unsupervised Metrics in Task-Oriented Dialogue for Evaluating Natural Language Generation
• Evaluating Lexicon-Based Sentiment Analysis Methods for Small Datasets on Low Compute Devices
• Development of a Framework for Youth- and Family-Specific Engagement in Research: Proposal for a Scoping Review and Qualitative Descriptive Study
• On Recipe Memorization and Creativity in Large Language Models: Is Your Model a Creative Cook, a Bad Cook, or Merely a Plagiator?
• Climate change-induced range shift of the endemic epiphytic lichenLobaria pindarensisin the Hindu Kush Himalayan region
• Learning from various labeling strategies for suicide-related messages on social media: An experimental study
• Evaluating and Improving Large Language Models for Competitive Program Generation
• On the limits of cross-domain generalization in automated X-ray prediction
• Accountability in Intervention Research: Developing a Fidelity Checklist of a Mental Health Intervention in Prisons
• Interaction Analysis by Humans and AI: A Comparative Perspective
• Domain Knowledge in Artificial Intelligence: Using Conceptual Modeling to Increase Machine Learning Accuracy and Explainability
• Semantic Caching for Improving Web Affordability
• The International Caries Detection and Assessment System (ICDAS): an integrated system for measuring dental caries
• Magnetic Resonance Classification of Lumbar Intervertebral Disc Degeneration
• The reliability of the pass/fail decision for assessments comprised of multiple components
• See-in-Pairs: Reference Image-Guided Comparative Vision-Language Models for Medical Diagnosis
• Predictive modelling of football injuries
• Leveraging Network Methods for Hub-like Microservice Detection
• Categorization of interestingness measures for knowledge extraction
• LAION-C: An Out-of-Distribution Benchmark for Web-Scale Vision Models
• Identifying Explanation Needs: Towards a Catalog of User-based Indicators
• Understanding the Challenges and Opportunities of Generative AI Apps: An Empirical Study
• PRISON: Unmasking the Criminal Potential of Large Language Models
• Specificity-Based Sentence Ordering for Multi-Document Extractive Risk Summarization
• Detecting Online Hate Speech Using Context Aware Models
• Essential-Web v1.0: 24T tokens of organized web data
• What Makes a Good Natural Language Prompt?
• Reciprocal Relationships Between Parenting Behavior and Disruptive Psychopathology from Childhood Through Adolescence
• K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean
• Cross-project Classification of Security-related Requirements
• Konooz: Multi-domain Multi-dialect Corpus for Named Entity Recognition
• More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification
• Automatic Argument Quality Assessment -- New Datasets and Methods
• Hatevolution: What Static Benchmarks Don't Tell Us
• Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network
• Posted in Error: Did the CDC’s Retraction of Aerosol Guidance Undercut Its Public Reputation?
• Distribución espacio-temporal de Eichhornia crassipes (Mart.) Solms a través de teledetección en laguna La Turbina, Cuba
• What Users Value and Critique: Large-Scale Analysis of User Feedback on AI-Powered Mobile Apps
• Unsupervised patient representations from clinical notes with interpretable classification decisions
• Let ’em Talk!
• Peering Inside a Canadian Interrogation Room
• Quality of remotely-collected gaze data in autistic and nonspectrum children
• Cauda equina redundant nerve roots are associated to the degree of spinal stenosis and to spondylolisthesis
• A multi-task learning method for extraction of newly constructed areas based on bi-temporal hyperspectral images
• AI Techniques in the Microservices Life-Cycle: a Systematic Mapping Study
• Ultra-Fast, Low-Storage, Highly Effective Coarse-grained Selection in Retrieval-based Chatbot by Using Deep Semantic Hashing
• Interobserver reliability of the Tile classification system for pelvic fractures among radiologists and surgeons
• Emotion-Aware, Emotion-Agnostic, or Automatic: Corpus Creation Strategies to Obtain Cognitive Event Appraisal Annotations
• Development and validation of a measurement instrument for studying supply chain management practices
• Developing Students’ Critical Thinking Skills and Argumentation Abilities Through Augmented Reality–Based Argumentation Activities in Science Classes
• Technical-tactical evolution of women’s football: a comparativeanalysis of ball possessions in the FIFA Women’s World CupFrance 2019 and Australia & New Zealand 2023
• Adaptive Keywords Extraction with Contextual Bandits for Advertising on Parked Domains
• Open-Domain Dialogue Generation Based on Pre-trained Language Models
• From trust to accountability: Negotiating media performance in the Netherlands, 1987—2007
• An Empirical Study of OpenAI API Discussions on Stack Overflow
• Character 3-gram Mover's Distance: An Effective Method for Detecting Near-duplicate Japanese-language Recipes
• Fine-grained Human Evaluation of Transformer and Recurrent Approaches to Neural Machine Translation for English-to-Chinese
• R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning
• Unsupervised Paraphrasing by Simulated Annealing
• Affinity-Based Hierarchical Learning of Dependent Concepts for Human Activity Recognition
• An Evidence-Based Systematic Review on Cognitive Interventions for Individuals With Dementia
• Supportive Messages Female Offenders Receive From Probation and Parole Officers About Substance Avoidance: Message Perceptions and Effects
• Recognizing Explicit and Implicit Hate Speech Using a Weakly Supervised Two-path Bootstrapping Approach
• Matter-of-Fact: A Benchmark for Verifying the Feasibility of Literature-Supported Claims in Materials Science
• Behavior-based evaluation of session satisfaction
• Graph-Embedding Empowered Entity Retrieval
• Automated phonological analysis and treatment target selection using AutoPATT
• DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation
• Aspect-Based Argument Mining
• Expanded understanding of student conceptions of engineers: Validation of the modified draw‐an‐engineer test (mDAET) scoring rubric
• FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes
• Quantifying task-relevant representational similarity using decision variable correlation
• Harnessing GIS, remote sensing, and machine learning for sustainable management and carbon sequestration of non-timber forest products in Gujarat, India
• A Systematic Mapping Study on Software Architecture for AI-based Mobility Systems
• Citations versus expert opinions: Citation analysis of Featured Reviews of the American Mathematical Society
• Evaluating Discourse and Dialogue Coding Schemes
• Analyzing Web Search Behavior for Software Engineering Tasks
• Climate-driven spread of giant hogweed [Heracleum mantegazzianum (Sommier & Levier) in Turkey: assessing future invasion risks under CMIP6 climate projections
• Corpus-pragmatic perspectives on the contemporary weakening of fuck: The case of teenage British English conversation
• Reducing cardiovascular risk among people living with HIV: Rationale and design of the INcreasing Statin Prescribing in HIV Behavioral Economics REsearch (INSPIRE) randomized controlled trial
• From Chat Logs to Collective Insights: Aggregative Question Answering
• Evaluating AI capabilities in detecting conspiracy theories on YouTube
• Bridging Semantic Gaps between Natural Languages and APIs with Word Embedding
• Automated Essay Scoring Incorporating Annotations from Automated Feedback Systems
• Human footprint with machine learning identifies risks of the invasive weed Conyza sumatrensis across land-use types under climate change
• Chinese Cyberbullying Detection: Dataset, Method, and Validation
• THiNK: Can Large Language Models Think-aloud?
• CODE-DITING: A Reasoning-Based Metric for Functional Alignment in Code Evaluation
• Classification of dinosaur footprints using machine learning
• Preschoolers' questions and parents' explanations: Causal thinking in everyday activity
• Rethinking Metrics and Benchmarks of Video Anomaly Detection
• Can LLMs Evaluate What They Cannot Annotate? Revisiting LLM Reliability in Hate Speech Detection
• Generalized Permutation Framework for Testing Model Variable Significance
• Comparing Human and AI Rater Effects Using the Many-Facet Rasch Model
• The Militarized Interstate Events (MIE) dataset, 1816–2014
• You Can Do Better! If You Elaborate the Reason When Making Prediction
• Reliability: on the reproducibility of assessment data
• How does Human Resource Management help service organizations to thrive in uncertainties and risks: Postcrisis as a context
• A Bayesian Ordinal Logistic Regression Model to Correct for Interobserver Measurement Error in a Geographical Oral Health Study
• Annotation of Emotion Carriers in Personal Narratives
• Evaluating NLP Embedding Models for Handling Science-Specific Symbolic Expressions in Student Texts
• Learning and Exploiting Interclass Visual Correlations for Medical Image Classification
• Introducing the Psychological Autopsy Methodology Checklist
• RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data
• Data Doping or True Intelligence? Evaluating the Transferability of Injected Knowledge in LLMs
• When Do LLMs Admit Their Mistakes? Understanding The Role Of Model Belief In Retraction
• An Empirical Analysis of Vulnerability Detection Tools for Solidity Smart Contracts Using Line Level Manually Annotated Vulnerabilities
• ParsiNLU: A Suite of Language Understanding Challenges for Persian
• The Corrective Commit Probability Code Quality Metric
• Understanding the Link Between Spatial Distance and Social Distance
• BugRepro: Enhancing Android Bug Reproduction with Domain-Specific Knowledge Integration
• Voice to Vision: Enhancing Civic Decision-Making through Co-Designed Data Infrastructure
• Analysis of Trending Topics and Text-based Channels of Information Delivery in Cybersecurity
• Mixed Signals: Understanding Model Disagreement in Multimodal Empathy Detection
• SDLog: A Deep Learning Framework for Detecting Sensitive Information in Software Logs
• Reliable Decision Support with LLMs: A Framework for Evaluating Consistency in Binary Text Classification Applications
• Product Fit Uncertainty in Online Markets: Nature, Effects, and Antecedents
• The Impact of Executives’ IT Expertise on Reported Data Security Breaches
• Tracking Turbulence Through Financial News During COVID-19
• Parents’ understanding of genome and exome sequencing for pediatric health conditions: a systematic review
• Noise exposure and the risk of cancer: a comprehensive systematic review
• How Accurate Is Clinician Reporting of Chemotherapy Adverse Effects? A Comparison With Patient-Reported Symptoms From the Quality-of-Life Questionnaire C30
• Agreement and reproducibility between 3DStent vs. Optical Coherence Tomography for evaluation of stent area and diameter
• Using Multilabel Neural Network to Score High‐Dimensional Assessments for Different Use Foci: An Example with College Major Preference Assessment
• Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models
• A Multi-Task Benchmark for Abusive Language Detection in Low-Resource Settings
• Counterspeech the ultimate shield! Multi-Conditioned Counterspeech Generation through Attributed Prefix Learning
• RefactorAssist: Agentic Refinement for Reliable Code Refactoring
• Covariance Symmetries Classification in Multitemporal/Multipass PolSAR Images
• Feedback from nuclear RNA on transcription promotes robust RNA concentration homeostasis in human cells
• Beyond bigrams: call sequencing in the common marmoset ( Callithrix jacchus ) vocal system
• Visual Environment, Attention Allocation, and Learning in Young Children
• Smiling underwater: Exploring playful signals and rapid mimicry in bottlenose dolphins
• The iconicity toolbox: empirical approaches to measuring iconicity
• Ecological and social outcomes of urbanization on regional farming systems: a global synthesis
• Truth Is a Lie: Crowd Truth and the Seven Myths of Human Annotation
• SurgXBench: Explainable Vision-Language Model Benchmark for Surgery
• Benchmarking Critical Questions Generation: A Challenging Reasoning Task for Large Language Models
• Measurement Without Validity: The Compounding Reliability Problem in Agentic AI Evaluation
• Equal is Not Always Fair: A New Perspective on Hyperspectral Representation Non-Uniformity
• Center for Epidemiologic Studies Depression Scale (CES-D) as a screening instrument for depression among community-residing older adults.
• Comparing LLM Text Annotation Skills: A Study on Human Rights Violations in Social Media Data
• Potential types of bias when estimating causal effects in environmental research and how to interpret them
• How white is the global elite? An analysis of race, gender and network structure
• The infection-tolerant white-footed deermouse tempers interferon responses to endotoxin in comparison to the mouse and rat
• Synoptic patterns and mesoscale precursors of Italian tornadoes
• Towards Automated Situation Awareness: A RAG-Based Framework for Peacebuilding Reports
• Predicting reptile distributions at the mesoscale: relation to climate and topography
• Structural and interactional aspects of adverbial sentences in English mother-child interactions: an analysis of two dense corpora
• RadPRISM: Schema-stratified radiology-report supervision for concept-disentangled image representations and visual grounding
• Evaluating Simplification Algorithms for Interpretability of Time Series Classification
• LCES: Zero-shot Automated Essay Scoring via Pairwise Comparisons Using Large Language Models
• A Machine Learning model of the combination of normalized SD1 and SD2\n indexes from 24h-Heart Rate Variability as a predictor of myocardial\n infarction
• A Consolidated System for Robust Multi-Document Entity Risk Extraction and Taxonomy Augmentation
• Exploring Challenges in Test Mocking: Developer Questions and Insights from StackOverflow
• LLM-Based Detection of Tangled Code Changes for Higher-Quality Method-Level Bug Datasets
• Automatic detection of abnormal clinical EEG: comparison of a finetuned foundation model with two deep learning models
• ViMRHP: A Vietnamese Benchmark Dataset for Multimodal Review Helpfulness Prediction via Human-AI Collaborative Annotation
• When are Deep Networks really better than Decision Forests at small sample sizes, and how?
• A model for spectra-based software diagnosis
• Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology
• Frame In, Frame Out: Do LLMs Generate More Biased News Headlines than Humans?
• UKElectionNarratives: A Dataset of Misleading Narratives Surrounding Recent UK General Elections
• Comparing two SVM models through different metrics based on the confusion matrix
• POTENTIAL DISTRIBUTION OF TWO INSECTS WITH GASTRONOMIC VALUE IN MEXICO
• Decoding Open-Ended Information Seeking Goals from Eye Movements in Reading
• Gender Representations on Disney Channel, Cartoon Network, and Nickelodeon Broadcasts in the United States
• Mental disorders and suicide in Northern Ireland
• A Defect Taxonomy for Infrastructure as Code: A Replication Study
• The Social Media Disorder Scale
• Behavior of agreement measures in the presence of zero cells and biased marginal distributions
• Descriptor: C++ Self-Admitted Technical Debt Dataset (CppSATD)
• Evaluating the Impact of Data Cleaning on the Quality of Generated Pull Request Descriptions
• Where is the “theory” within the field of educational technology research?
• Summer and winter habitat suitability of Marco Polo argali in southeastern Tajikistan: A modeling approach
• Habitat assessment of Marco Polo sheep (Ovis ammon polii) in Eastern Tajikistan: Modeling the effects of climate change
• Modified Overt Aggression Scale (MOAS) for People with Intellectual Disability and Aggressive Challenging Behaviour: A Reliability Study
• Proper Correlation Coefficients for Nominal Random Variables
• Corporate social identity: an analysis of the Indian banking sector
• Search-Induced Issues in Web-Augmented LLM Code Generation: Detecting and Repairing Error-Inducing Pages
• Distributed Partial Information Puzzles: Examining Common Ground Construction Under Epistemic Asymmetry
• Attention Interpretability Across NLP Tasks
• ScienceExamCER: A High-Density Fine-Grained Science-Domain Corpus for Common Entity Recognition
• Measuring Faithfulness Depends on How You Measure: Classifier Sensitivity in LLM Chain-of-Thought Evaluation
• Prodromal Assessment With the Structured Interview for Prodromal Syndromes and the Scale of Prodromal Symptoms: Predictive Validity, Interrater Reliability, and Training to Reliability
• Technology-Enhanced Collaborative Inquiry in K–12 Classrooms: A Systematic Review of Empirical Studies
• Qualitative methods can enrich quantitative research on occupational stress: An example from one occupational group
• Transgender adults, gender-affirming hormone therapy and blood pressure: a systematic review
• Digital discourse research in linguistics (2010-2025): A bibliometric and content analysis
• The Individual-Targeting Assumption: A Systematic Review of Proactive Robots in Human Group Settings
• The effectiveness of an aerobic exercise training on patients with neck pain during a short- and long-term follow-up: a prospective double-blind randomized controlled trial
• Light-weight sleep monitoring: electrode distance matters more than placement for automatic scoring
• Clinical gait data analysis based on Spatio-Temporal features
• Machine learning for the recognition of emotion in the speech of couples in psychotherapy using the Stanford Suppes Brain Lab Psychotherapy Dataset
• “That's not My Job”: Developing Flexible Employee Work Orientations
• Stuck in the Past: Why Managers Persist with New Product Failures
• Coder Reliability and Misclassification in the Human Coding of Party Manifestos
• “Friendship” Interactions and Expression of Agitation among Residents of a Dementia Care Unit
• Students’ sociodemographic characteristics and writing performance: a systematic literature review
• A comparison of methods for defining sociometric status among children.
• Health-Care Provider Planned Responses to Patient Misunderstandings about End-of-Life Care
• Inventoried and observed stress in parent-child interactions
• Reliability and Expected Loss: A Unifying Principle
• General Estimators for the Reliability of Qualitative Data
• Inspecting the Achilles heel: a quantitative analysis of 50 years of family business definitions
• THAT'S NOT MY JOB: DEVELOPING FLEXIBLE EMPLOYEE WORK.
• Primary and secondary goals in the production of interpersonal influence messages
• Begging with a Purpose? Testing Behavioural Hallmarks of First-Order Intentionality in Free-ranging Hanuman Langurs
• Reflux Symptom Index versus Reflux Finding Score
• IslamicLegalBench: Evaluating LLMs Knowledge and Reasoning of Islamic Law Across 1,200 Years of Islamic Pluralist Legal Traditions
• Using Finite-State Machines to Automatically Scan Classical Greek Hexameter
• Antidepressants versus placebo for panic disorder in adults
• Antidepressants and benzodiazepines for panic disorder in adults
• The effectiveness of semantic feature analysis: An evidence-based systematic review
• The Sentience Readiness Index: A Preliminary Framework for Measuring National Preparedness for the Possibility of Artificial Sentience
• The drinking water contamination crisis in Flint: Modeling temporal trends of lead level since returning to Detroit water system
• Estimating the quality of landslide susceptibility models
• Optimal landslide susceptibility zonation based on multiple forecasts
• Interventions for latent autoimmune diabetes (LADA) in adults
• A Benthic Terrain Classification Scheme for American Samoa
• Effect of 3 years of SAFE (surgery, antibiotics, facial cleanliness, and environmental change) strategy for trachoma control in southern Sudan: a cross-sectional study
• The concept of major depression
• A Re-analysis of the Reliability of Psychiatric Diagnosis
• Intent Laundering: AI Safety Datasets Are Not What They Seem
• Special Paper: A Global Biome Model Based on Plant Physiology and Dominance, Soil Properties and Climate
• Why parapsychology cannot become a science
• Continuous glucose monitoring systems for type 1 diabetes mellitus
• Reliability of Scores on the Stroke Rehabilitation Assessment of Movement (STREAM) Measure
• Phosphodiesterase inhibitors for erectile dysfunction in patients with diabetes mellitus
• Mechanisms of Team-Sport-Related Brain Injuries in Children 5 to 19 Years Old: Opportunities for Prevention
• Staying Centered: Curriculum Leadership in a Turbulent Era
• Eviction and the Reproduction of Urban Poverty
• Benchmarking Reward Hack Detection in Code Environments via Contrastive Analysis
• The Invisible Hand of AI Libraries Shaping Open Source Projects and Communities
• TRUST: An LLM-Based Dialogue System for Trauma Understanding and Structured Assessments
• Current threats faced by Neotropical parrot populations
• Truecluster matching
• A snow cover climatology for the Pyrenees from MODIS snow products
• Safety and accuracy follow different scaling laws in clinical large language models
• Using LLMs in Generating Design Rationale for Software Architecture Decisions
• Modelling invasion for a habitat generalist and a specialist plant species
• An Empirical Study on Common Defects in Modern Web Browsers Using Knowledge Embedding in GPT-4o
• Measuring the Gap Between Human and LLM Research Ideas
• ClinHallu: A Benchmark for Diagnosing Stage-Wise Hallucinations in Medical MLLM Reasoning
• CATEKAPPA: An R Shiny Application for Design and Analysis of Consistency Tests Based on the Kappa Statistic for Categorical Responses
• MalwareTextDB: A Database for Annotated Malware Articles
• Multituberculate Mammals Show Evidence of a Life History Strategy Similar to That of Placentals, Not Marsupials
• Reconstructing spatial vulnerability to forest loss by fire in pre‐historic New Zealand
• The DDI corpus: An annotated corpus with pharmacological substances and drug–drug interactions
• When Cow Urine Cures Constipation on YouTube: Limits of LLMs in Detecting Culture-specific Health Misinformation
• Can LLMs Accurately Score Medical Diagnoses and Clinical Reasoning?
• Reasoning-Based Refinement of Unsupervised Text Clusters with LLMs
• AI-Mediated Feedback Improves Student Revisions: A Randomized Trial with FeedbackWriter in a Large Undergraduate Course
• Improving Code Generation via Small Language Model-as-a-judge
• Performance Smells in ML and Non-ML Python Projects: A Comparative Study
• Ordinal Regression Methods: Survey and Experimental Study
• Towards Automated Detection of Inline Code Comment Smells
• Biotic and abiotic variables show little redundancy in explaining tree species distributions
• Cuba: Exploring the History of Admixture and the Genetic Basis of Pigmentation Using Autosomal and Uniparental Markers
• Exercise therapy for multiple sclerosis
• TextTIGER: Text-based Intelligent Generation with Entity Prompt Refinement for Text-to-Image Generation
• Confirmatory bias in evaluating personality test information: Am I really that kind of person?
• Early Detection of Alzheimer's Disease Using Explainable Machine Learning on Clinical Biomarkers: A Multi-Class Classification Study Using the Alzheimer's Disease Neuroimaging Initiative (ADNI) Dataset
• Relative expertise in an everyday reasoning task: Epistemic understanding, problem representation, and reasoning competence
• Commercially Available Mobile Phone Headache Diary Apps: A Systematic Review
• Is dispersal guided by the environment? A comparison of interspecific gene flow estimates among differentiated regions of a newt hybrid zone
• Rosiglitazone for type 2 diabetes mellitus
• Low glycaemic index, or low glycaemic load, diets for diabetes mellitus
• Self-monitoring of blood glucose in patients with type 2 diabetes mellitus who are not using insulin
• Counting polyamorists who count: Prevalence and definitions of an under-researched form of consensual nonmonogamy
• Stratification by Skin Color in Contemporary Mexico
• Rewards of kindness? A meta-analysis of the link between prosociality and well-being.
• The human factor in SCM
• Truecluster: robust scalable clustering with model selection
• Green tea for weight loss and weight maintenance in overweight or obese adults
• An Examination of Interrater Reliability for Scoring the Rorschach Comprehensive System in Eight Data Sets
• An on-line interpretive Rorschach approach: Using Exner’s comprehensive system
• LogSieve: Task-Aware CI Log Reduction for Sustainable LLM-Based Analysis
• Topotecan for ovarian cancer
• The Evolution of Wikipedia’s Norm Network
• Prosodic Markers of Saliency in Humorous Narratives
• Reasoning Models Will Sometimes Lie About Their Reasoning
• An Empirical Study of Policy-as-Code Adoption in Open-Source Software Projects
• LDU-Bench: Multimodal LLM Evaluation for Lithography Defect Understanding under Layout-Varying Circuit Backgrounds
• Impaired Reception of Nonverbal Cues in Women with Premenstrual Tension Syndrome
• FACTWASH: Catching AI Rewrites That Wash Hearsay into Fact
• Depicting the Quarterback in Black and White: A Content Analysis of College and Professional Football Broadcast Commentary
• Halothane Binding Proteome in Human Brain Cortex
• Mitigating work alienation: what can we learn from employee ownership?
• Immature siblings and mother-infant relationships among free-ranging rhesus monkeys on Cayo Santiago
• Path dependence and the validation of agent‐based spatial models of land use
• Building UD Cairo for Old English in the Classroom
• From Bugs to Benchmarks: A Comprehensive Survey of Software Defect Datasets
• Recalculation of the Critical Values for Lawshe’s Content Validity Ratio
• Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success
• A semi-structured clinical interview for the assessment of diagnosis and mental state in the elderly: the Geriatric Mental State Schedule: I. Development and reliability
• Modeling Communication Perception in Development Teams Using Monte Carlo Methods
• Learning under Concept Drift: A Review
• Assessing Media Influences on Middle School–Aged Children's Perceptions of Women in Science Using the Draw-A-Scientist Test (DAST)
• Data Stream Classification Guided by Clustering on Nonstationary Environments and Extreme Verification Latency
• STRIVE: Probing Reasoning Limits in Graded Plausibility Generation and Evaluation
• On Reliability of Patch Correctness Assessment
• Guideline-as-Oracle: Zero-Annotation Training of an Ophthalmic Telephone Triage Agent
• Consensus Measures for Unstructured Biomedical Text Annotations
• A Finnish news corpus for named entity recognition
• FinProBench: Evaluating Financial AI Agents with Role-Grounded Rubrics Derived from Professional Deliverables
• A scoping review of AI-mediated informal language learning: Mapping out the terrain and identifying future directions
• The Effect of Number of Rating Scale Categories on Levels of Interrater Reliability : A Monte Carlo Investigation
• Diagnostic accuracy of emergency department ECGs in hyperkalemia detection: A cross-sectional study
• Characterizing and Comparing External Measures for the Assessment of Cluster Analysis and Community Detection
• Zooming in: Identifying fine‐grained verbal dynamics that influence coachees' self‐regulation statements during copreneur coaching sessions
• TathyaNyaya and FactLegalLlama: Advancing Factual Judgment Prediction and Explanation in the Indian Legal Context
• CliME: Evaluating Multimodal Climate Discourse on Social Media and the Climate Alignment Quotient (CAQ)
• Voluntary stuttering suppresses true stuttering: A window on the speech perception-production link
• The Inhibition of Stuttering Via the Perceptions and Production of Syllable Repetitions
• PreSumm: Predicting Summarization Performance Without Summarizing
• Campaña digital en clave de género: un estudio de caso de las elecciones autonómicas andaluzas de 2022 a través de Facebook
• Do they agree? Bibliometric evaluation versus informed peer review in the Italian research assessment exercise
• A Comprehensive Evaluation of Code Language Models for Security Patch Detection
• Validity and reliability of the Movement Assessment Battery for Children‐2 Checklist for children with and without motor impairments
• When Does Diversity Help Generalization in Classification Ensembles?
• On Developers' Self-Declaration of AI-Generated Code: An Analysis of Practices
• Emo Pillars: Knowledge Distillation to Support Fine-Grained Context-Aware and Context-Less Emotion Classification
• Applying Cooperative Machine Learning to Speed Up the Annotation of Social Signals in Large Multi-modal Corpora
• Preliminary study of optical coherence tomography imaging to identify microscopic extrathyroidal extension in patients with papillary thyroid carcinoma
• Using the full-text content of academic articles to identify and evaluate algorithm entities in the domain of natural language processing
• Significativity Indices for Agreement Values
• Combating Toxic Language: A Review of LLM-Based Strategies for Software Engineering
• Development of the Patient Education Materials Assessment Tool (PEMAT): A new measure of understandability and actionability for print and audiovisual patient information
• Epidemiology of brucellosis, Q Fever and Rift Valley Fever at the human and livestock interface in northern Côte d’Ivoire
• The Stochastic Replica Approach to Machine Learning: Stability and Parameter Optimization
• Structured Legal Document Generation in India: A Model-Agnostic Wrapper Approach with VidhikDastaavej
• A Local Method for Identifying Causal Relations under Markov Equivalence
• Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results
• The mini nutritional assessment (MNA) and its use in grading the nutritional state of elderly patients
• Exploring the reliability of social and environmental disclosures content analysis
• Photometric Classifications of Evolved Massive Stars: Preparing for the Era of Webb and Roman with Machine Learning
• Sleep staging from electrocardiography and respiration with deep learning
• Deriving suitability factors for CA-Markov land use simulation model based on local historical data
• The ‘as code’ activities: development anti-patterns for infrastructure as code
• Multi-hop assortativities for network classification
• DeepSeeNet: A Deep Learning Model for Automated Classification of Patient-based Age-related Macular Degeneration Severity from Color Fundus Photographs
• Contextual Factors Contributing to Ethnic Identity Development of Second-Generation Iranian American Adolescents
• Harnessing Generative AI to Facilitate Epistemic Understanding of Students in Scientific Inquiry
• The Role of Educational Data Mining and Artificial Intelligence Supported Learning Analytics on Conceptual Change: New Approaches to Differentiated Instruction
• An Empirical Study of Python Library Migration Using Large Language Models
• Ensemble Pruning Based on Objection Maximization With a General Distributed Framework
• Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications
• Comparing the effectiveness of process-experiential with cognitive-behavioral psychotherapy in the treatment of depression.
• The Construction of a Model of the Process of Couples’ Forgiveness in Emotion-Focused Therapy for Couples
• TriQua: Reconciling Granularity and Context in Factuality Evaluation
• Neurobiology of culturally common maternal responses to infant cry
• Aging in the Digital Age : Public Beliefs About the Potential of Virtual Reality (VR) for the Aging Population
• LLMs as Span Annotators: A Comparative Study of LLMs and Humans
• An Empirical Study of Production Incidents in Generative AI Cloud Services
• The Ultimate Configuration Management Tool? Lessons from a Mixed Methods Study of Ansible's Challenges
• Should you use LLMs to simulate opinions? Quality checks for early-stage deliberation
• BOISHOMMO: Holistic Approach for Bangla Hate Speech
• Efficient Tuning of Large Language Models for Knowledge-Grounded Dialogue Generation
• Synthesizing High-Quality Programming Tasks with LLM-based Expert and Student Agents
• Beyond LLMs: A Linguistic Approach to Causal Graph Generation from Narrative Texts
• Conditional Data Synthesis Augmentation
• Multistream Vision Transformer Fusion with Stain-Physics Priors for Reliable Colorectal Histopathology Classification
• Patterns and issues in multiaxial psychiatric diagnosis
• Spurious precision: procedural validity of diagnostic assessment in psychotic disorders
• Teaching Data Science Students to Sketch Privacy Designs through Heuristics (Extended Technical Report)
• Accuracy assessment of land cover maps [wikipedia]
• Validity/reliability of PHQ-9 and PHQ-2 depression scales among adults living with HIV/AIDS in western Kenya. [europepmc]
• Radiographic evaluation of the hip has limited reliability. [europepmc]
• Reliability of a complication classification system for orthopaedic surgery. [europepmc]
• A comparison of Cohen's Kappa and Gwet's AC1 when calculating inter-rater reliability coefficients: a study conducted with personality disorder samples. [europepmc]
• Multidimensional in vivo hazard assessment using zebrafish. [europepmc]
• A review and meta-analysis of age-based stereotype threat: negative stereotypes, not facts, do the damage. [europepmc]
• Pictorial cigarette pack warnings: a meta-analysis of experimental studies. [europepmc]
• Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool. [europepmc]
• Can mental health diagnoses in administrative data be used for research? A systematic review of the accuracy of routinely collected diagnoses. [europepmc]
• Utility of spherical human liver microtissues for prediction of clinical drug-induced liver injury. [europepmc]
• The relationship between physician burnout and quality of healthcare in terms of safety and acceptability: a systematic review. [europepmc]
• Empirical Comparison of Publication Bias Tests in Meta-Analysis. [europepmc]
• Best Practices for Developing and Validating Scales for Health, Social, and Behavioral Research: A Primer. [europepmc]
• Automated Gleason grading of prostate cancer tissue microarrays via deep learning. [europepmc]
• Agreement Between Prospective and Retrospective Measures of Childhood Maltreatment: A Systematic Review and Meta-analysis. [europepmc]
• Metascape provides a biologist-oriented resource for the analysis of systems-level datasets. [europepmc]
• Multitask learning and benchmarking with clinical time series data. [europepmc]
• Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer. [europepmc]
• Understanding the care and support needs of older people: a scoping review and categorisation using the WHO international classification of functioning, disability and health framework (ICF). [europepmc]
• The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation. [europepmc]
• Promoting memory consolidation during sleep: A meta-analysis of targeted memory reactivation. [europepmc]
• Automatic diagnosis of the 12-lead ECG using a deep neural network. [europepmc]
• Fear of the coronavirus (COVID-19): Predictors in an online study conducted in March 2020. [europepmc]
• The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation. [europepmc]
• Towards a guideline for evaluation metrics in medical image segmentation. [europepmc]