{"id":"W2122029246","doi":"10.1093/occmed/kqs174","title":"Can emergency physicians predict severity and time away from work?","year":2012,"lang":"en","type":"article","venue":"Occupational Medicine","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research; University of Alberta","keywords":"Medicine; Work (physics); Sick leave; Emergency department; Occupational safety and health; Duration (music); Physical therapy; Workers' compensation; Injury prevention; Severity of illness; Emergency medicine; Poison control; Compensation (psychology); Psychology; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00159311,0.0002999001,0.0003514433,0.001371043,0.0002774132,0.000916443,0.0005205299,0.0009283615,0.003731968],"category_scores_gemma":[0.02413414,0.0002286939,0.0002900192,0.00101903,0.0003664722,0.0009855626,0.000478057,0.0005589467,0.0006684831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005274231,"about_ca_system_score_gemma":0.0008319589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01174394,"about_ca_topic_score_gemma":0.01444091,"domain_scores_codex":[0.9988384,0.0005030957,0.0001467757,0.0001210364,0.0002398731,0.0001508182],"domain_scores_gemma":[0.9889222,0.004596683,0.004205866,0.0002164595,0.001038148,0.001020582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005791807,0.0000300471,0.9953097,0.00002370605,0.0000130633,0.00005219235,0.00005528711,0.0001405324,0.00001558043,0.00001095807,0.0005087074,0.003782313],"study_design_scores_gemma":[0.00001651565,0.00009050584,0.9971903,0.0001066477,0.00002053607,0.0003765966,0.0004758989,0.001198587,0.00003411756,0.0001052225,0.0003785735,0.000006473927],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869471,0.002650218,0.0006955604,0.003946769,0.0000909853,0.00005065147,0.001022693,0.00003417915,0.004561997],"genre_scores_gemma":[0.9984968,0.0004271967,0.00043069,0.000132273,0.00007001436,0.00001001083,0.0003230754,0.000002051627,0.0001078062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01174394,"threshold_uncertainty_score":0.02335113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01394254545334461,"score_gpt":0.287457902497841,"score_spread":0.2735153570444964,"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."}}