{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.009314173,0.0005073124,0.0008106087,0.00178025,0.00153853,0.00003857178,0.0003954292,0.0006196602,0.00005931738],"category_scores_gemma":[0.01197216,0.0004077746,0.0001814608,0.002159752,0.0008099697,0.001324586,0.0001136312,0.001304201,0.000006713614],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001765541,"about_ca_system_score_gemma":0.005810488,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03930588,"about_ca_topic_score_gemma":0.4529637,"domain_scores_codex":[0.9916402,0.00278987,0.002337795,0.001062549,0.001013918,0.001155675],"domain_scores_gemma":[0.9736409,0.02307675,0.0004189579,0.0007574995,0.001831565,0.000274376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00719218,0.0007094832,0.8306038,0.003482913,0.000123329,0.00000466289,0.1050236,0.005285353,0.0003442563,0.03441095,0.001579253,0.01124019],"study_design_scores_gemma":[0.003498208,0.0008562058,0.7245268,0.0008217212,0.00008466977,0.000006280475,0.02296438,0.2411621,0.000003287316,0.005393212,0.0003834179,0.0002998025],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9376516,0.0008199166,0.002314608,0.04732728,0.0002430672,0.01052488,0.0004971395,0.00003623821,0.0005852627],"genre_scores_gemma":[0.9534417,0.0002962599,0.04001139,0.001381782,0.00007971666,0.004113351,0.0004929475,0.00005021686,0.0001326599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4136578,"threshold_uncertainty_score":0.9998374,"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."}}