{"id":"W3193639708","doi":"10.1177/08465371211038963","title":"Analyzing the Administrative Burden of Competency Based Medical Education","year":2021,"lang":"en","type":"article","venue":"Canadian Association of Radiologists Journal","topic":"Innovations in Medical Education","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Medicine; Family medicine; Medical education","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":[0.009150208,0.0003079174,0.0002569018,0.001934234,0.001559301,0.001923005,0.00101851,0.000254829,0.00283338],"category_scores_gemma":[0.06421721,0.0002644017,0.0003715949,0.001846846,0.0008940549,0.0008564608,0.001956012,0.0008074536,0.0003273155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01046563,"about_ca_system_score_gemma":0.01829056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1284619,"about_ca_topic_score_gemma":0.2012074,"domain_scores_codex":[0.9846341,0.005276743,0.001354705,0.0004322443,0.007089097,0.001213142],"domain_scores_gemma":[0.9163088,0.02547443,0.0302742,0.002279949,0.02070518,0.004957513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002645534,0.0004505749,0.8872703,0.0003950155,0.00008762927,0.0001698871,0.01409061,0.00080741,0.0008920013,0.0004272382,0.002727751,0.09241705],"study_design_scores_gemma":[0.000008812325,0.0001986123,0.9873355,0.0001212307,0.00001724429,0.0001123528,0.007946869,0.0007432771,0.0003317443,0.00006255718,0.003104412,0.0000173578],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940283,0.0003124183,0.0007833948,0.0008551216,0.00002557742,0.00008450773,0.0002032543,0.00002134847,0.003686132],"genre_scores_gemma":[0.9978133,0.0001744364,0.00112491,0.00007425258,0.00001889075,0.00003777125,0.0001789957,0.000005885124,0.0005714488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1284619,"threshold_uncertainty_score":0.2554283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01853964132042304,"score_gpt":0.332572147472659,"score_spread":0.314032506152236,"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."}}