{"id":"W4387728263","doi":"10.1111/medu.15250","title":"When medical education and health policy meet: Will we find our leaders there?","year":2023,"lang":"en","type":"article","venue":"Medical Education","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"Key (lock); Health policy; Medical education; Psychology; Health education; Political science; Public relations; Medicine; Nursing; Public health; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.04100747,0.0006519746,0.001371448,0.003129531,0.02164781,0.03977447,0.003117561,0.02959985,0.0233544],"category_scores_gemma":[0.1130183,0.000841012,0.0007919329,0.003056451,0.01909325,0.05567509,0.01838533,0.04205934,0.006415926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01127931,"about_ca_system_score_gemma":0.03558704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01227303,"about_ca_topic_score_gemma":0.02100265,"domain_scores_codex":[0.9638819,0.01685845,0.0009601843,0.001717262,0.005669266,0.01091308],"domain_scores_gemma":[0.8848416,0.04249104,0.009404301,0.002192272,0.01676406,0.04430676],"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":[0.00005356811,0.0002333807,0.00694727,0.0004281042,0.00004413606,0.0005320726,0.03807767,0.0001104366,0.0002577119,0.1544984,0.6996142,0.09920304],"study_design_scores_gemma":[0.00004334602,0.00008133559,0.004454456,0.001774036,0.00003088594,0.0002566102,0.1929246,0.0002861574,0.0003281202,0.0974195,0.7022315,0.0001695176],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001020991,0.001902832,0.0003807949,0.9860238,0.005030233,0.000006911836,0.00001148186,0.0000230482,0.00559992],"genre_scores_gemma":[0.1772609,0.01282481,0.003928771,0.7546681,0.02531577,0.0001845888,0.00009358224,0.0001863142,0.02553711],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04100747,"threshold_uncertainty_score":0.2168708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08764278310867371,"score_gpt":0.527365266114445,"score_spread":0.4397224830057713,"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."}}