{"id":"W2278291878","doi":"10.1017/cem.2015.77","title":"A National Faculty Development Needs Assessment in Emergency Medicine","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Innovations in Medical Education","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Toronto Public Health; McMaster University; Queen's University; University of British Columbia; University of Alberta; McGill University; University of Calgary","funders":"University of Cambridge","keywords":"Scholarship; Medicine; Accountability; Medical education; Needs assessment; Work (physics); Faculty development; Family medicine; Professional development; Political science","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":[0.02584917,0.0003678528,0.0005055505,0.008180479,0.005829431,0.002527118,0.00252332,0.001470748,0.005051886],"category_scores_gemma":[0.05235653,0.0005449529,0.0009843127,0.00508123,0.0007211971,0.004666626,0.01021073,0.001874989,0.0007132384],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02024594,"about_ca_system_score_gemma":0.08113606,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07412767,"about_ca_topic_score_gemma":0.1821627,"domain_scores_codex":[0.98514,0.003855542,0.002275341,0.0005069511,0.005318822,0.002903311],"domain_scores_gemma":[0.9308257,0.008492003,0.005661945,0.001364961,0.0350375,0.01861789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004301466,0.002877224,0.7649313,0.0008203998,0.00008652526,0.0005061374,0.02034003,0.001036305,0.0006130129,0.002519737,0.0520303,0.1538088],"study_design_scores_gemma":[0.0001389672,0.001106355,0.8796392,0.0007850784,0.00007188393,0.0002846461,0.07800844,0.002057788,0.0008659392,0.001026388,0.03593189,0.00008332784],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.901943,0.0007832506,0.002345175,0.03013362,0.0004340711,0.00496211,0.006456852,0.0001316977,0.05281021],"genre_scores_gemma":[0.9619976,0.000816391,0.01783091,0.003283257,0.0000921008,0.004292387,0.004217044,0.00003766014,0.007432705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9797541,"threshold_uncertainty_score":0.1473924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1867107046661885,"score_gpt":0.448005437936446,"score_spread":0.2612947332702575,"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."}}