{"id":"W4386715901","doi":"10.46747/cfp.6909658","title":"Women in medicine—strength in leadership","year":2023,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chief executive officer; Girl; Officer; Management; Computer science; Psychology; Law; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003426708,0.0005101001,0.0005207962,0.0007100418,0.009294242,0.008705379,0.0008857222,0.003456968,0.05489321],"category_scores_gemma":[0.01001838,0.0003289482,0.0003937784,0.0006599529,0.005361002,0.006084583,0.008023269,0.008765065,0.0171523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003437794,"about_ca_system_score_gemma":0.01534544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008953266,"about_ca_topic_score_gemma":0.03257836,"domain_scores_codex":[0.9956669,0.001440788,0.00008042756,0.0002485081,0.001166216,0.001397046],"domain_scores_gemma":[0.9876876,0.0005960921,0.000354749,0.0001796454,0.001515481,0.009666437],"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":[0.00001018885,0.0000242069,0.0006261206,0.000077009,0.000006379909,0.0001163014,0.002144545,0.000009560815,0.0000936855,0.01111715,0.9521768,0.03359811],"study_design_scores_gemma":[0.00001010459,0.00002560498,0.0008952733,0.0004082882,0.000004134019,0.000247762,0.004684607,0.00001193051,0.00003006784,0.005717907,0.9879545,0.000009808789],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001728291,0.01449545,0.0003692766,0.8537647,0.02395423,0.00003054357,0.00007170634,0.000143312,0.1054426],"genre_scores_gemma":[0.1002601,0.03151639,0.001923507,0.5982037,0.02618015,0.0001834799,0.0001485925,0.0003595423,0.2412246],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05489321,"threshold_uncertainty_score":0.1836361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1065821028516216,"score_gpt":0.2816912879410032,"score_spread":0.1751091850893816,"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."}}