{"id":"W2122645924","doi":"10.1017/s1049023x11006807","title":"Increasing Emergency Medicine Residents’ Confidence in Disaster Management: Use of an Emergency Department Simulator and an Expedited Curriculum","year":2012,"lang":"en","type":"article","venue":"Prehospital and Disaster Medicine","topic":"Disaster Response and Management","field":"Health Professions","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta Hospital; Alberta Hospital Edmonton; University of Alberta","funders":"","keywords":"Curriculum; Disaster medicine; Test (biology); Emergency management; Medical education; Medicine; Emergency department; Schedule; Medical emergency; Human factors and ergonomics; Emergency medicine; Poison control; Psychology; Nursing; Computer science; Pedagogy","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001856752,0.0003502399,0.0002310084,0.0003023104,0.0002207065,0.0003354322,0.0005123634,0.000341099,0.001874992],"category_scores_gemma":[0.007497278,0.0002296525,0.0003246451,0.0001203449,0.0001653496,0.0004003599,0.0008077618,0.0004262021,0.0002038751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004221471,"about_ca_system_score_gemma":0.001510465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008738106,"about_ca_topic_score_gemma":0.001482454,"domain_scores_codex":[0.9993439,0.0002835864,0.0000552717,0.00005053225,0.0001809331,0.00008568203],"domain_scores_gemma":[0.997288,0.0007169141,0.0005870706,0.0001193672,0.0003483957,0.0009401858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003458915,0.07197194,0.376004,0.001131731,0.000263404,0.0005511834,0.006386182,0.005604744,0.02297601,0.0001932239,0.004403365,0.5070552],"study_design_scores_gemma":[0.001456989,0.06557029,0.8972386,0.0004070525,0.0002186854,0.001033802,0.00278607,0.01087669,0.01359798,0.0001447522,0.006541367,0.0001277451],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985703,0.00003744773,0.0004585798,0.0001145825,0.000009495452,0.000165644,0.0000180397,0.00003139576,0.0005945127],"genre_scores_gemma":[0.9917276,0.0001443594,0.007092651,0.00007282982,0.00001308712,0.0003160709,0.00008293165,0.000004547884,0.0005459476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001874992,"threshold_uncertainty_score":0.009819627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0636081577435744,"score_gpt":0.4078823429926881,"score_spread":0.3442741852491137,"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."}}