{"id":"W4412043946","doi":"10.1080/03630242.2025.2523256","title":"Academic surgery: Faculty gender and racial trends through an intersectional lens","year":2025,"lang":"en","type":"review","venue":"Women & Health","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Workforce; Ethnic group; Representation (politics); Diversity (politics); Pacific islanders; Medicine; Demography; Underrepresented Minority; Population; United States Medical Licensing Examination; Gender disparity; Gerontology; Race (biology); Family medicine; Medical school; Medical education; Gender studies; Political science; Sociology","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":[],"consensus_categories":[],"category_scores_codex":[0.002676276,0.0002195699,0.001119576,0.0002515416,0.0007612632,0.0000536742,0.0003642474,0.0003851657,0.0004921572],"category_scores_gemma":[0.0001051347,0.0001981009,0.0001628945,0.000648656,0.0003146618,0.0003109577,0.0000850041,0.0007254722,0.0000165166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009407406,"about_ca_system_score_gemma":0.002844556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001046572,"about_ca_topic_score_gemma":0.0003197958,"domain_scores_codex":[0.9972303,0.0006923875,0.0004000594,0.0004207222,0.0006655269,0.0005910117],"domain_scores_gemma":[0.9990216,0.0002455162,0.0002496753,0.0001430191,0.00004725648,0.0002928622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005507501,0.0000225523,0.00006587278,0.003474166,0.00005199784,0.000003267851,0.05229774,3.181398e-8,1.70296e-9,0.004448503,0.02933048,0.9102999],"study_design_scores_gemma":[0.00007910558,0.00004065134,0.00004585867,0.001591773,0.00005761988,0.000002248276,0.02427233,7.780872e-8,1.895476e-9,0.0001673202,0.9735922,0.0001508722],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006277159,0.9798563,0.00001634696,0.0007209813,0.00155299,0.0002348064,0.0002916885,0.00008605467,0.01717811],"genre_scores_gemma":[0.0001091876,0.9938382,0.00002169946,0.002009559,0.001004629,0.00003092074,0.0003290519,0.00000963614,0.002647125],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9442617,"threshold_uncertainty_score":0.8078321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2547744296019793,"score_gpt":0.474555831736756,"score_spread":0.2197814021347768,"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."}}