{"id":"W2943435562","doi":"10.1017/cem.2019.316","title":"P125: Faculty development in the age of competency-based medical education: a national, cross-sectional needs assessment for Canadian emergency medicine faculty","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Innovations in Medical Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Competence (human resources); Descriptive statistics; Nomination; Cross-sectional study; Medical education; Faculty development; Perception; Needs assessment; Family medicine; Professional development; Psychology","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":[0.00291933,0.0003855577,0.0003127911,0.002779777,0.003874541,0.001598462,0.001534764,0.0008283471,0.002898227],"category_scores_gemma":[0.01221985,0.0004356652,0.001015811,0.003469213,0.0007496657,0.001906141,0.002588259,0.001168544,0.0004731926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0181184,"about_ca_system_score_gemma":0.04399861,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7491176,"about_ca_topic_score_gemma":0.8622442,"domain_scores_codex":[0.9979097,0.00009199646,0.0001899335,0.00009523827,0.001008289,0.0007047377],"domain_scores_gemma":[0.9884185,0.0005251686,0.001676108,0.0001362443,0.006094875,0.003149066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005138269,0.0002203253,0.9753003,0.0001025637,0.00002330841,0.00008857109,0.005975739,0.00009819581,0.0002014986,0.0000965228,0.006699669,0.01114191],"study_design_scores_gemma":[0.000003853579,0.00004947883,0.9909722,0.00003490968,0.000006135736,0.00002485682,0.007468363,0.00007248273,0.00008326282,0.00001601907,0.001261064,0.000007489067],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987701,0.0001382472,0.000126744,0.002139239,0.00004840766,0.0004532699,0.003817593,0.00002134021,0.005554003],"genre_scores_gemma":[0.9936169,0.0002308766,0.0006734978,0.0004204629,0.00002402453,0.0004692806,0.002794647,0.000009045615,0.001761224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2508824,"threshold_uncertainty_score":0.5047199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1132981141245058,"score_gpt":0.4480875634692554,"score_spread":0.3347894493447496,"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."}}