{"id":"W3158445484","doi":"10.1503/cmaj.202797","title":"Aligning continuing professional development with quality improvement","year":2021,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Innovations in Medical Education","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Continuing medical education; Continuing professional development; Professional development; Key (lock); Quality (philosophy); Continuing education; Medical education; Computer science; Quality management; Medicine; Data science; Knowledge management; Operations management; Engineering; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.08255538,0.001064474,0.0009792551,0.004458779,0.004388584,0.01564454,0.005042512,0.005675793,0.01174311],"category_scores_gemma":[0.1653952,0.0005593741,0.001050198,0.006616925,0.004190358,0.006420037,0.01479259,0.009718783,0.003597414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03384541,"about_ca_system_score_gemma":0.1696158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03573852,"about_ca_topic_score_gemma":0.03494412,"domain_scores_codex":[0.8454946,0.05559688,0.009449324,0.007198656,0.07065611,0.01160443],"domain_scores_gemma":[0.7574421,0.03617847,0.02038145,0.01081042,0.1059824,0.06920513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001041865,0.0009545452,0.01670286,0.001681428,0.0001322586,0.000153288,0.001727041,0.001188138,0.0008022943,0.03399487,0.1587955,0.7837635],"study_design_scores_gemma":[0.0005691383,0.001570598,0.07625622,0.00800862,0.0001661612,0.0007982937,0.005069077,0.007734064,0.002956784,0.06814247,0.8284861,0.0002425083],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01356203,0.01525738,0.07604224,0.7938707,0.01095171,0.002398264,0.0003419374,0.001687456,0.0858883],"genre_scores_gemma":[0.4291244,0.0162502,0.3567039,0.1505074,0.01193801,0.002761264,0.001294848,0.0005832318,0.03083683],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08255538,"threshold_uncertainty_score":0.4365998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01050429206858089,"score_gpt":0.3102565773440454,"score_spread":0.2997522852754645,"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."}}