{"id":"W4387595387","doi":"10.1097/acm.0000000000005490","title":"Performance Data Advocacy for Continuing Professional Development in Health Professions","year":2023,"lang":"en","type":"article","venue":"Academic Medicine","topic":"Innovations in Medical Education","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; Public Health Ontario; University Health Network; Princess Margaret Cancer Centre; Royal College of Physicians and Surgeons of Canada; Centre for Addiction and Mental Health; Medical Council of Canada; WiLAN (Canada); Institute of Health Services and Policy Research","funders":"","keywords":"Salient; Perspective (graphical); Legitimacy; TRACE (psycholinguistics); Engineering ethics; Conceptual framework; Field (mathematics); Professional development; Health care; Data science; Conceptual model; Computer science; Quality (philosophy); Management science; Knowledge management; Psychology; Political science; Sociology; Pedagogy; Epistemology; Engineering","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2246275,0.0004898527,0.0008860492,0.00586095,0.007636975,0.02326221,0.003691653,0.00801663,0.003635023],"category_scores_gemma":[0.4202362,0.0004943167,0.000716105,0.007215063,0.03104456,0.02130807,0.01393266,0.01429717,0.0006082475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01403156,"about_ca_system_score_gemma":0.0320847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004776176,"about_ca_topic_score_gemma":0.005015883,"domain_scores_codex":[0.7481353,0.1899223,0.01424495,0.005653867,0.03916143,0.002882205],"domain_scores_gemma":[0.2845764,0.6244422,0.02840053,0.0193483,0.03945638,0.003776181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009491662,0.0001025254,0.005006326,0.001991679,0.00004719876,0.0001695296,0.04603801,0.0003263629,0.000227981,0.7984113,0.03703402,0.1105502],"study_design_scores_gemma":[0.00008194697,0.0001781992,0.004640049,0.0153257,0.0001038215,0.0004577614,0.0510122,0.002193072,0.002310456,0.45347,0.4700885,0.000138363],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02163064,0.01623505,0.04833157,0.8269365,0.005893163,0.0004244146,0.0001860138,0.0001061048,0.08025663],"genre_scores_gemma":[0.7846781,0.01370479,0.0641539,0.12345,0.00545112,0.001187538,0.0002229438,0.0001275028,0.007024229],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2246275,"threshold_uncertainty_score":0.9561724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1225157709144968,"score_gpt":0.4716951264380646,"score_spread":0.3491793555235678,"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."}}