{"id":"W4391338828","doi":"10.1186/s12909-024-05071-4","title":"Gender trends in Canadian medicine and surgery: the past 30 years","year":2024,"lang":"en","type":"article","venue":"BMC Medical Education","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Specialty; Medicine; Family medicine; Odds; Medical school; Male gender; Odds ratio; Demography; Gender disparity; Medical education; Internal medicine; Logistic regression","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001191147,0.0003186365,0.0003825466,0.003408933,0.003232982,0.001431558,0.001187646,0.0006191304,0.003284335],"category_scores_gemma":[0.003816415,0.0002374645,0.0006815857,0.007130204,0.00106376,0.0006650973,0.001194682,0.0008114251,0.0002820946],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02648317,"about_ca_system_score_gemma":0.03725426,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9871459,"about_ca_topic_score_gemma":0.9923971,"domain_scores_codex":[0.9980804,0.0001054642,0.00008387863,0.0002496932,0.0009032606,0.0005773254],"domain_scores_gemma":[0.9962088,0.0001725456,0.0009174883,0.00006260161,0.001469805,0.001168628],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005516497,0.00001505535,0.9753588,0.0001535431,0.00006008007,0.0001297576,0.002196194,0.00009824536,0.0001298302,0.000478291,0.005463734,0.01586125],"study_design_scores_gemma":[0.000002320575,0.00001198602,0.9911363,0.00009022401,0.00001766897,0.0001154949,0.002149112,0.0001130589,0.00003394563,0.00004351687,0.006274418,0.00001212393],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9377013,0.02024379,0.0003286918,0.009176039,0.0002888444,0.00006022649,0.01761658,0.00006369702,0.01452089],"genre_scores_gemma":[0.9857598,0.007791619,0.000289466,0.0007832378,0.0000761781,0.00002838351,0.003465267,0.00001427573,0.001791869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9988089,"threshold_uncertainty_score":0.1921497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06323755642626055,"score_gpt":0.3579882411589275,"score_spread":0.2947506847326669,"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."}}