{"id":"W4293778021","doi":"10.1111/medu.14930","title":"An equity timeout in quality improvement medical education","year":2022,"lang":"en","type":"article","venue":"Medical Education","topic":"Innovations in Medical Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Timeout; Equity (law); Library science; Medicine; Law; Political science; Computer science; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06284047,0.0009469566,0.0007956249,0.001742002,0.004220373,0.01031985,0.00283395,0.006153537,0.05893034],"category_scores_gemma":[0.1338734,0.0007528572,0.00182898,0.001370737,0.003903877,0.01704451,0.022393,0.009413577,0.009705612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00779439,"about_ca_system_score_gemma":0.02132085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002876271,"about_ca_topic_score_gemma":0.005999235,"domain_scores_codex":[0.9361793,0.03684748,0.002611053,0.003403477,0.01514351,0.00581523],"domain_scores_gemma":[0.8823388,0.04649586,0.006647221,0.00939233,0.01581435,0.03931136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001897244,0.0009078991,0.004490008,0.0009039668,0.00006569875,0.000291414,0.006394835,0.0002770371,0.0005455864,0.02310476,0.4251792,0.5376499],"study_design_scores_gemma":[0.0004793933,0.0009140089,0.01191316,0.004366972,0.00006807258,0.0004356828,0.007427417,0.000851515,0.001045988,0.02912563,0.9432629,0.0001092922],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01952744,0.006940302,0.02910086,0.7920734,0.02427487,0.001232279,0.0007403077,0.003376052,0.1227345],"genre_scores_gemma":[0.4021662,0.006906719,0.1199925,0.3551215,0.01654429,0.003705156,0.001371428,0.002279201,0.09191296],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06284047,"threshold_uncertainty_score":0.3323362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02324301120553824,"score_gpt":0.4620352439305252,"score_spread":0.438792232724987,"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."}}