{"id":"W2801702634","doi":"10.1136/leader-2018-000069","title":"Finding a path to growth as a leader: a medical learner perspective","year":2018,"lang":"en","type":"article","venue":"BMJ Leader","topic":"Innovations in Medical Education","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McGill University; McGill University Health Centre","funders":"","keywords":"Commit; Perspective (graphical); Medical education; Leadership development; Curriculum; Summit; Neuroleadership; Psychology; Leadership studies; Medicine; Pedagogy; Leadership style; Political science; Public relations; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008220422,0.0001708567,0.0002655716,0.0003135138,0.0001564928,0.0000245887,0.0001778085,0.0002475029,0.004735745],"category_scores_gemma":[0.01183557,0.0001439295,0.00007027511,0.0009795135,0.0003706731,0.00008825553,0.0000656505,0.0005789936,0.004474237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00033964,"about_ca_system_score_gemma":0.0007736774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001626135,"about_ca_topic_score_gemma":0.00001265097,"domain_scores_codex":[0.9976438,0.00005995736,0.0003540332,0.0004380642,0.001068302,0.0004358162],"domain_scores_gemma":[0.9984242,0.00006704186,0.00007013153,0.0003673795,0.0008030105,0.0002681985],"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":[0.0004087072,0.0008197858,0.00650605,0.0002034798,0.0002112898,0.0002343748,0.05814556,3.455071e-7,0.001716921,0.07956056,0.8211526,0.03104035],"study_design_scores_gemma":[0.01352038,0.007997699,0.08085591,0.005702606,0.0006690889,0.005734049,0.3594243,0.004286529,0.01331431,0.01395692,0.4916564,0.002881791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4865107,0.0001035545,0.00579933,0.4150519,0.001458468,0.00136313,0.000001941208,0.0002582784,0.08945267],"genre_scores_gemma":[0.9376355,0.000003959366,0.00616264,0.04178093,0.003995426,0.0001528065,0.00001333269,0.00004591831,0.01020954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4511248,"threshold_uncertainty_score":0.9964882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04382415862118395,"score_gpt":0.4291033859828314,"score_spread":0.3852792273616474,"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."}}