{"id":"W4313393512","doi":"10.25011/cim.v45i4.39275","title":"UNIVERSITY OF MONTREAL’S CLINICIAN-INVESTIGATOR PROGRAM: A 10-YEAR DESCRIPTIVE EVALUATION","year":2022,"lang":"en","type":"article","venue":"Clinical and investigative medicine","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Centre Hospitalier de l’Université de Montréal; Institut National de Santé Publique du Québec; Montreal Heart Institute; Hôpital du Sacré-Cœur de Montréal; Hôpital Maisonneuve-Rosemont; Université de Montréal","funders":"","keywords":"Economic shortage; Attrition; Modalities; Incentive; Medical education; Medicine; Workforce; Descriptive statistics; Family medicine; Psychology; Political science; Government (linguistics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.005781447,0.0004270884,0.0004917992,0.003172285,0.002538229,0.001726983,0.001738524,0.0006592979,0.004591793],"category_scores_gemma":[0.01225035,0.0004859642,0.0005994533,0.004111269,0.000867489,0.001407623,0.001832247,0.001041825,0.0007883418],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02417891,"about_ca_system_score_gemma":0.03323595,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6032658,"about_ca_topic_score_gemma":0.7155292,"domain_scores_codex":[0.9962405,0.000687937,0.0001919295,0.0002243955,0.001550972,0.001104221],"domain_scores_gemma":[0.9814625,0.00128086,0.003761033,0.00029549,0.007443944,0.005756084],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005010022,0.001075566,0.9525912,0.0002462083,0.00005198526,0.0001469609,0.002697939,0.0001239672,0.0001451326,0.0001134132,0.01121121,0.03109532],"study_design_scores_gemma":[0.00005799575,0.0004438499,0.991405,0.0001056723,0.00001854575,0.00004550728,0.004035867,0.0001094555,0.00006564576,0.000009258546,0.003686754,0.00001643946],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820365,0.001006231,0.0002001616,0.001217198,0.00005367185,0.001851305,0.007034675,0.00004737053,0.006552953],"genre_scores_gemma":[0.9883326,0.00127971,0.0007658012,0.0004835961,0.00005358098,0.001281219,0.003702986,0.00002259841,0.004077976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9942185,"threshold_uncertainty_score":0.7981414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5474996656960461,"score_gpt":0.4834086821083785,"score_spread":0.06409098358766763,"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."}}