{"id":"W4391566347","doi":"10.5334/pme.962","title":"Evaluating Competence by Design as a Large System Change Initiative: Readiness, Fidelity, and Outcomes","year":2024,"lang":"en","type":"article","venue":"Perspectives on Medical Education","topic":"Innovations in Medical Education","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Toronto; University of Calgary; University of Alberta; Royal College of Physicians and Surgeons of Canada; University of Ottawa","funders":"Royal College of Physicians and Surgeons of Canada","keywords":"Competence (human resources); Transformational leadership; Fidelity; Program Design Language; Computer science; Process management; Program evaluation; Medical education; Knowledge management; Medicine; Psychology; Engineering; Software engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2988165,0.001054734,0.001637247,0.003981054,0.005467086,0.01181982,0.002930242,0.001557997,0.003302779],"category_scores_gemma":[0.3221378,0.0008250606,0.001986699,0.003340177,0.005982107,0.006949282,0.01078097,0.003968148,0.0005911367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03280986,"about_ca_system_score_gemma":0.07779263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0235203,"about_ca_topic_score_gemma":0.03774808,"domain_scores_codex":[0.7074523,0.2094327,0.01364196,0.005957043,0.05387679,0.009639152],"domain_scores_gemma":[0.6671885,0.178833,0.02353832,0.03432941,0.08116048,0.01495024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007044611,0.004655013,0.08256873,0.004625371,0.0007439743,0.0001640424,0.04743873,0.005866955,0.003585676,0.03360602,0.01476346,0.8012776],"study_design_scores_gemma":[0.002519173,0.03791786,0.4728098,0.01507884,0.001707129,0.0006954865,0.1169042,0.03134805,0.0486571,0.07406379,0.1966459,0.001652704],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5265465,0.002650056,0.2824877,0.03384669,0.001092621,0.04744646,0.001321969,0.002039201,0.1025688],"genre_scores_gemma":[0.7484568,0.0005612402,0.2285879,0.002108304,0.00007199327,0.0160671,0.0004766497,0.000304208,0.003365859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2988165,"threshold_uncertainty_score":0.864684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0725120576626233,"score_gpt":0.4570208348328971,"score_spread":0.3845087771702738,"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."}}