{"id":"W4413098399","doi":"10.32782/2522-1795.2025.19.2.9","title":"A PRACTICAL MODEL FOR USING THE CANADIAN OCCUPATIONAL PERFORMANCE MEASURE (COPM) IN THE REHABILITATION OF MILITARY PERSONNEL AND CIVILIANS IN ACUTE AND POST-ACUTE REHABILITATION IN UKRAINE","year":2025,"lang":"en","type":"article","venue":"Реабілітаційні та фізкультурно-рекреаційні аспекти розвитку людини (Rehabilitation & recreation)","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rehabilitation; Measure (data warehouse); Physical medicine and rehabilitation; Physical therapy; Medicine; Computer science; Data mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01170358,0.0008798019,0.000368935,0.003188619,0.004367984,0.004253421,0.002238597,0.001584126,0.001646975],"category_scores_gemma":[0.01611662,0.0004029983,0.0007595059,0.002056045,0.006810147,0.002430229,0.002353279,0.001645709,0.000338638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02453747,"about_ca_system_score_gemma":0.04407145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1886406,"about_ca_topic_score_gemma":0.2243507,"domain_scores_codex":[0.9872962,0.008079279,0.0005834858,0.0008827503,0.002515628,0.0006425321],"domain_scores_gemma":[0.9925229,0.003687812,0.0006216361,0.0003426952,0.002409196,0.0004157321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001256966,0.0004324914,0.07665166,0.001356749,0.0001246912,0.000917986,0.1098145,0.01905072,0.001468946,0.5752113,0.0123884,0.2024569],"study_design_scores_gemma":[0.0002397584,0.00135412,0.1209107,0.006901305,0.0004337716,0.002117236,0.1666794,0.1607374,0.00334157,0.2947937,0.242028,0.0004630055],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3031866,0.002776172,0.3780325,0.0512535,0.0004056062,0.00742891,0.0009399191,0.0005598704,0.255417],"genre_scores_gemma":[0.7581421,0.0006535084,0.2348284,0.0005213668,0.00001659475,0.002072755,0.0002716951,0.00002421901,0.003469453],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1886406,"threshold_uncertainty_score":0.3750853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06676735148719132,"score_gpt":0.4457104187910296,"score_spread":0.3789430673038383,"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."}}