{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02805951,0.0006355612,0.001039203,0.002835094,0.003855675,0.002615286,0.001027254,0.001460451,0.003884408],"category_scores_gemma":[0.04865542,0.001016884,0.001304082,0.002632056,0.001855073,0.002379144,0.004881496,0.001879885,0.0006636983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008791508,"about_ca_system_score_gemma":0.01350383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01411396,"about_ca_topic_score_gemma":0.02035702,"domain_scores_codex":[0.9822057,0.009522415,0.002051119,0.000904195,0.002449052,0.002867429],"domain_scores_gemma":[0.9674805,0.01758528,0.003037025,0.0007023988,0.00830185,0.002892851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001351245,0.004663941,0.6246847,0.001205152,0.0001537499,0.0004545787,0.3250686,0.0004387823,0.001710618,0.0007224948,0.001359078,0.03818723],"study_design_scores_gemma":[0.0001965872,0.003343338,0.5112672,0.0007441983,0.00008667559,0.0002571893,0.4793136,0.0008308813,0.0007415882,0.000213067,0.002911629,0.00009394265],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979392,0.00006443799,0.0002380644,0.0001892549,0.00001292313,0.0007203679,0.00009787108,0.000002220069,0.0007355391],"genre_scores_gemma":[0.9954529,0.0002315821,0.0008682646,0.0003945835,0.0000120747,0.002303244,0.0001343652,0.00000677031,0.0005962404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02805951,"threshold_uncertainty_score":0.1483946,"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."}}