{"id":"W4410781222","doi":"10.1111/iwj.70691","title":"Assessing Clinician Consistency in Wound Tissue Classification and the Value of <scp>AI</scp>‐Assisted Quantification: A Cross‐Sectional Study","year":2025,"lang":"en","type":"article","venue":"International Wound Journal","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Women's College Hospital; University of Toronto","funders":"","keywords":"Medicine; Eschar; Granulation tissue; Wound care; Cross-sectional study; Wound healing; Surgery; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05193926,0.0003900164,0.0005783155,0.001718946,0.000519051,0.001698012,0.0006682016,0.0007769935,0.001085491],"category_scores_gemma":[0.1068622,0.0006214997,0.0008708602,0.001502273,0.0009842649,0.001927977,0.001376468,0.0007592798,0.0004394274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007211637,"about_ca_system_score_gemma":0.0007711602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001455448,"about_ca_topic_score_gemma":0.001435419,"domain_scores_codex":[0.9659922,0.01868989,0.004401092,0.004084915,0.006166027,0.0006658217],"domain_scores_gemma":[0.8075854,0.1044228,0.03838541,0.01077892,0.03719244,0.001634899],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002641522,0.0001229409,0.9838319,0.0001906164,0.0003075972,0.00005570908,0.003767614,0.0002167504,0.0005917456,0.00007480429,0.0003000255,0.0102763],"study_design_scores_gemma":[0.00002160089,0.00135259,0.9882094,0.000187167,0.0001699856,0.0006249767,0.003639432,0.002600541,0.0009444056,0.0001324804,0.002063885,0.00005355366],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909585,0.001042532,0.005584207,0.0001414694,0.00006827059,0.000314482,0.0002907221,0.00003846107,0.001561455],"genre_scores_gemma":[0.9964514,0.0001730327,0.002753507,0.00006554709,0.00002562268,0.0001864807,0.0001657,0.00001689387,0.0001617571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9480608,"threshold_uncertainty_score":0.2746844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08401522568732411,"score_gpt":0.4475733963170256,"score_spread":0.3635581706297015,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}