{"id":"W2943470600","doi":"10.1017/cem.2019.348","title":"Simulation curricular content in postgraduate emergency medicine: A multicentre Delphi study","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Wilson Centre; Hospital for Sick Children; Queen's University; Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"Canadian Child Health Clinician Scientist Program","keywords":"Delphi method; Curriculum; Medical education; Delphi; Cronbach's alpha; Content validity; Medicine; Content analysis; Likert scale; Scale (ratio); Psychology; Computer science; Pedagogy; Psychometrics; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001355116,0.0003283606,0.0008471611,0.001338409,0.0001088952,0.000002403449,0.0002566321,0.0001346121,0.02661128],"category_scores_gemma":[0.002769638,0.0002573132,0.0001501105,0.001252127,0.00007039952,0.0001712662,0.000009509848,0.0006126314,0.00008271948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006927027,"about_ca_system_score_gemma":0.001377515,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04377696,"about_ca_topic_score_gemma":0.01964674,"domain_scores_codex":[0.9953583,0.0002526554,0.002605584,0.0003567537,0.0008484786,0.0005781919],"domain_scores_gemma":[0.9938234,0.0002497297,0.0008813454,0.0005095028,0.003044902,0.001491117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001230887,0.0001658923,0.9706507,0.0001635688,0.0001042693,0.0001043859,0.01439647,0.006439283,0.0001266794,0.00003504675,0.007459322,0.0002312956],"study_design_scores_gemma":[0.006195428,0.002208274,0.9371411,0.001010077,0.00034141,0.00001979492,0.03983092,0.007681528,0.000004517531,0.0001164092,0.00518248,0.0002680541],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9636163,0.004117756,0.00005670267,0.01195943,0.0177468,0.001677712,0.000005762584,0.00001367794,0.000805907],"genre_scores_gemma":[0.9963965,0.000190638,0.00003466635,0.0003030369,0.001731528,0.0000124008,0.00003847644,0.00004850813,0.001244263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03350959,"threshold_uncertainty_score":0.9999879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1971063972442538,"score_gpt":0.4323111863506885,"score_spread":0.2352047891064347,"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."}}