{"id":"W2918005469","doi":"10.1002/aet2.10329","title":"Building Emergency Medicine Trainee Competency in Pediatric Musculoskeletal Radiograph Interpretation: A Multicenter Prospective Cohort Study","year":2019,"lang":"en","type":"article","venue":"AEM Education and Training","topic":"Musculoskeletal Disorders and Rehabilitation","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine; University of Toronto; SickKids Foundation; Stollery Children's Hospital; Hospital for Sick Children","funders":"Hospital for Sick Children; University of Toronto; Royal College of Physicians and Surgeons of Canada","keywords":"Interquartile range; Medicine; Pediatric emergency medicine; Ankle; Physical therapy; Prospective cohort study; Cohort; Confidence interval; Benchmark (surveying); Cohort study; Emergency department; Surgery; Internal medicine","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":[0.00526599,0.0004751384,0.0004430679,0.0007653664,0.0008975087,0.0008482686,0.0008217553,0.0007044637,0.001895157],"category_scores_gemma":[0.007084846,0.0005755696,0.0007544912,0.0008360549,0.0003993225,0.001656665,0.0009231794,0.0009915238,0.0005417356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005425117,"about_ca_system_score_gemma":0.0009569187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00385584,"about_ca_topic_score_gemma":0.004512086,"domain_scores_codex":[0.9974602,0.000785397,0.0002180266,0.0006481924,0.0005107411,0.0003773244],"domain_scores_gemma":[0.9953643,0.0008082045,0.001626443,0.000718649,0.0006876218,0.0007947819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004202545,0.0003799987,0.9975888,0.000009313072,0.00006237084,0.00005681335,0.0001985863,0.00001809702,0.0001402022,0.0000123034,0.0001207962,0.000992525],"study_design_scores_gemma":[0.0001194429,0.002579093,0.995408,0.00001626388,0.00007675881,0.0003481412,0.0007862651,0.0002537356,0.0001266872,0.00001508179,0.0002591324,0.00001131502],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994392,0.00004881521,0.0001162233,0.00002220716,0.000005107037,0.00007740143,0.0001623019,0.000003384526,0.0001252891],"genre_scores_gemma":[0.9990953,0.00004931768,0.0002906591,0.0000534672,0.00001220556,0.0001159418,0.000261,0.000004370123,0.0001178404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00526599,"threshold_uncertainty_score":0.02784956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008763779448957518,"score_gpt":0.3175285248148377,"score_spread":0.3087647453658802,"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."}}