{"id":"W4385655615","doi":"10.1503/cjs.004522","title":"Sex and racial diversity in Canadian academic surgery","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Surgery","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"AstraZeneca","keywords":"Medicine; Diversity (politics); Indigenous; Inclusion (mineral); Race (biology); White (mutation); Gender disparity; Racial diversity; Ethnic group; Family medicine; Representation (politics); Demography; Gender studies","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":[0.001763487,0.0001962747,0.0002858843,0.003745298,0.00764354,0.002331006,0.0008579412,0.0004487138,0.004268232],"category_scores_gemma":[0.007770897,0.0001774662,0.0004129971,0.005266015,0.00185783,0.0006339206,0.002038988,0.0006431386,0.0001296928],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01522024,"about_ca_system_score_gemma":0.02839617,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9569717,"about_ca_topic_score_gemma":0.9800847,"domain_scores_codex":[0.997442,0.0002558167,0.0001023794,0.0001768781,0.001145454,0.0008775333],"domain_scores_gemma":[0.9960927,0.0003615289,0.0006858784,0.00009969668,0.001325291,0.001434839],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006548111,0.00003198265,0.9441204,0.00009700442,0.00005640503,0.0002353114,0.02336535,0.00008462199,0.0002457591,0.002384478,0.003410024,0.02590312],"study_design_scores_gemma":[0.000003156814,0.00001234898,0.9675485,0.0001311339,0.00001851013,0.0001504227,0.02573989,0.0001251925,0.00007157581,0.0003068927,0.005873228,0.00001910295],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800254,0.002063491,0.0001248654,0.00284331,0.00008197341,0.00002593482,0.0007071514,0.000007575962,0.01412018],"genre_scores_gemma":[0.9980997,0.0008453632,0.0000871037,0.0002387276,0.00001609575,0.000005922113,0.0001612207,0.000004454929,0.0005414237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9982365,"threshold_uncertainty_score":0.1104311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1081784599435668,"score_gpt":0.2872402664807126,"score_spread":0.1790618065371458,"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."}}