{"id":"W4408932045","doi":"10.1097/aog.0000000000005851.184","title":"Author Diversity in Presentations at the Society of Gynecologic Surgeons Meetings 2023–2024","year":2025,"lang":"en","type":"article","venue":"Obstetrics and Gynecology","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Diversity (politics); Medicine; General surgery; Political science; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.009276349,0.000220583,0.0002332215,0.00268133,0.001366035,0.002330696,0.0006842955,0.0005625077,0.01961978],"category_scores_gemma":[0.03293716,0.0001672112,0.0005309977,0.002857611,0.0004321255,0.001220844,0.002427094,0.0007006737,0.003658741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001345388,"about_ca_system_score_gemma":0.004075226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001661551,"about_ca_topic_score_gemma":0.003590918,"domain_scores_codex":[0.99147,0.003172242,0.00139001,0.0008033062,0.002366736,0.0007976441],"domain_scores_gemma":[0.9535872,0.0145046,0.01357292,0.001701556,0.008040383,0.008593438],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009826865,0.0001289971,0.844467,0.0006451242,0.0001204091,0.0009855485,0.01259638,0.0003257109,0.002323224,0.001403961,0.03812426,0.09789654],"study_design_scores_gemma":[0.00007798165,0.0003979502,0.9016146,0.0007378273,0.00005328781,0.002904911,0.02451936,0.0005614744,0.001745167,0.002174522,0.06515028,0.00006268357],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9431783,0.003822049,0.00177475,0.007056537,0.001218526,0.0002474769,0.006204135,0.0001707311,0.0363275],"genre_scores_gemma":[0.989755,0.001350213,0.001111736,0.0005943826,0.0004601157,0.0001908275,0.001435793,0.0000524326,0.005049514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9907237,"threshold_uncertainty_score":0.06563473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04019365038097576,"score_gpt":0.3117711402424389,"score_spread":0.2715774898614631,"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."}}