{"id":"W4404641259","doi":"10.1002/msc.70014","title":"Diagnostic Concordance Between Physiotherapist and Emergency Physicians for Patients With a Musculoskeletal Disorder in the Emergency Department","year":2024,"lang":"en","type":"article","venue":"Musculoskeletal Care","topic":"Nursing Roles and Practices","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Hôpital Maisonneuve-Rosemont; Centre for Interdisciplinary Research in Rehabilitation; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; The Quebec Population Health Research Network; Université de Montréal; Université Laval","funders":"Fonds de Recherche du Québec - Santé; Centre Hospitalier Universitaire de Québec; Canadian Institutes of Health Research; Fondation CHU de Québec; Université Laval","keywords":"Concordance; Medicine; Emergency department; Triage; Medical diagnosis; Physical therapy; Musculoskeletal injury; Emergency medicine; Psychiatry; Alternative medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0289256,0.0002441727,0.0006395369,0.001888282,0.000595801,0.0009766658,0.0007787818,0.0006380077,0.001909268],"category_scores_gemma":[0.1032151,0.0003486606,0.0005908388,0.0009540683,0.0008497998,0.0008530282,0.00195112,0.0005797225,0.0004530834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005954559,"about_ca_system_score_gemma":0.001121231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001763391,"about_ca_topic_score_gemma":0.002131336,"domain_scores_codex":[0.964927,0.02213857,0.004773013,0.002075302,0.005004323,0.001081839],"domain_scores_gemma":[0.8845257,0.08253326,0.01649592,0.003782253,0.01101183,0.001651123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004171281,0.00008422939,0.9895634,0.0001327363,0.0001027217,0.0001102001,0.002535248,0.0001120032,0.0001531707,0.00004810325,0.000205771,0.006535429],"study_design_scores_gemma":[0.00005323758,0.0004647175,0.9939188,0.000115423,0.00006237206,0.0005904493,0.002571084,0.001107449,0.0004552833,0.00022974,0.0004096665,0.00002172263],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966125,0.0004469261,0.001087192,0.0001210584,0.00003716312,0.0001100491,0.000200008,0.000009916806,0.001375009],"genre_scores_gemma":[0.9991024,0.0000479976,0.0005905965,0.00002420684,0.00001012446,0.00003625181,0.0001060649,0.000001989585,0.00008055905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0289256,"threshold_uncertainty_score":0.152975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01322029422638191,"score_gpt":0.3725591635518126,"score_spread":0.3593388693254306,"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."}}