{"id":"W4220822351","doi":"10.1080/0142159x.2022.2041585","title":"Ready, set, go! Evaluating readiness to implement competency-based medical education","year":2022,"lang":"en","type":"article","venue":"Medical Teacher","topic":"Innovations in Medical Education","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Queen's University; University of Calgary; University of Alberta; University of Toronto; Royal College of Physicians and Surgeons of Canada; University of Ottawa","funders":"","keywords":"Competence (human resources); Curriculum; Medical education; Psychology; Medicine; Pedagogy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006448655,0.0002352989,0.000403784,0.0003675587,0.0003869907,0.00001864828,0.0005064748,0.0001968763,0.1056991],"category_scores_gemma":[0.01374788,0.0002134063,0.00008973827,0.00126158,0.0001278415,0.00004861957,0.0002716914,0.001442011,0.0002873891],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009448921,"about_ca_system_score_gemma":0.01480361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002184454,"about_ca_topic_score_gemma":0.00003038731,"domain_scores_codex":[0.9924438,0.0004603091,0.0009125074,0.0005741086,0.005076544,0.0005327518],"domain_scores_gemma":[0.9978964,0.00008270884,0.0001594935,0.0006913034,0.0003883178,0.0007817823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001574289,0.002622009,0.02836154,0.0001491983,0.00006715415,0.00005057553,0.001480439,0.00001470885,0.00009600858,0.009708575,0.6088541,0.3484383],"study_design_scores_gemma":[0.004622445,0.001651434,0.009735708,0.0005924491,0.0002319513,0.0004577057,0.005065322,0.1061158,0.00007398085,0.001466499,0.8692901,0.0006966399],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6887572,0.0001423614,0.002922914,0.283428,0.003255701,0.001447968,0.000007384973,0.0002813042,0.01975713],"genre_scores_gemma":[0.8760504,0.000006390926,0.01543105,0.08848168,0.002910926,0.002730113,0.002129369,0.0001205114,0.01213963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3477417,"threshold_uncertainty_score":0.9945598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05548209588102013,"score_gpt":0.4503296907305934,"score_spread":0.3948475948495732,"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."}}