{"id":"W2912872939","doi":"10.1017/cem.2018.490","title":"Peak performance: Simulation and the nature of expertise in emergency medicine","year":2019,"lang":"en","type":"letter","venue":"Canadian Journal of Emergency Medicine","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Content (measure theory); Action (physics); Medical emergency; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00431451,0.0002653879,0.0004903659,0.0003841945,0.003816745,0.003624968,0.001666192,0.0229594,0.00803884],"category_scores_gemma":[0.04356393,0.0003830936,0.000543638,0.0005256642,0.003141704,0.003649184,0.001554041,0.02373261,0.001129158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009149252,"about_ca_system_score_gemma":0.01381364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0558244,"about_ca_topic_score_gemma":0.1381032,"domain_scores_codex":[0.9970963,0.001318846,0.0002251276,0.0001853372,0.00070941,0.0004650499],"domain_scores_gemma":[0.9678964,0.02299221,0.001087375,0.0004732354,0.002878858,0.004671894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002234853,0.0002229255,0.0119472,0.000119942,0.00002363614,0.00455102,0.002184566,0.0006683508,0.00019997,0.01584774,0.9269922,0.03701901],"study_design_scores_gemma":[0.000369167,0.0002527312,0.02416057,0.001663302,0.00007696269,0.01113593,0.01852599,0.009056598,0.0005300074,0.1012488,0.832721,0.0002589618],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002411715,0.000579458,0.00007308511,0.9903914,0.001960012,0.000003683489,0.00001123793,0.000006258062,0.004563237],"genre_scores_gemma":[0.2422286,0.004903139,0.0007832732,0.6871694,0.05034159,0.00008314637,0.0000563591,0.00005604341,0.01437847],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0558244,"threshold_uncertainty_score":0.1109989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0836044654381818,"score_gpt":0.3965872763168188,"score_spread":0.312982810878637,"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."}}