{"id":"W3158574816","doi":"10.4300/jgme-d-20-00900.1","title":"Stages of Milestones Implementation: A Template Analysis of 16 Programs Across 4 Specialties","year":2021,"lang":"en","type":"article","venue":"Journal of Graduate Medical Education","topic":"Innovations in Medical Education","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Milestone; Resource (disambiguation); Medical education; Stakeholder; Process (computing); Best practice; Competence (human resources); Computer science; Psychology; Medicine; Process management; Political science; Public relations; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001697194,0.0001284761,0.0006967481,0.0005432461,0.00006216848,0.00001706138,0.0001586898,0.0001201375,0.001316311],"category_scores_gemma":[0.003308157,0.0001059296,0.0002624384,0.002883018,0.0003005395,0.0001566771,0.00003337094,0.0003652152,0.000001865737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001947021,"about_ca_system_score_gemma":0.004459848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001980083,"about_ca_topic_score_gemma":0.0001383984,"domain_scores_codex":[0.9961602,0.0001224034,0.001670569,0.0001565261,0.001690347,0.0001999399],"domain_scores_gemma":[0.9944531,0.00009778025,0.001311724,0.0002676327,0.003710165,0.0001596269],"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":[0.0001510343,0.003198816,0.2194585,0.0005870185,0.002063952,0.00002324158,0.007221265,0.000006563913,0.001113637,0.0009072357,0.02009743,0.7451713],"study_design_scores_gemma":[0.002572099,0.0009121396,0.9029996,0.001386209,0.003833302,0.0005058331,0.05917837,0.0001970486,0.01577421,0.0008810305,0.01151525,0.0002449266],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832771,0.0006509769,0.0007678758,0.01365989,0.001302581,0.0001634625,0.00000771505,0.000006891357,0.0001634633],"genre_scores_gemma":[0.992732,0.0005134497,0.004973009,0.0006993262,0.0005349095,0.00001183165,0.000286932,0.00001378382,0.0002346922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7449264,"threshold_uncertainty_score":0.9995966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05540306824727133,"score_gpt":0.4511669881682955,"score_spread":0.3957639199210242,"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."}}