{"id":"W3105927608","doi":"10.1007/s12630-020-01862-7","title":"Intersection of gender, race, and academic rank in anesthesiology","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Anesthesia/Journal canadien d anesthésie","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Wilson Centre; Women's College Hospital; University Health Network; University of Toronto; Toronto Western Hospital; University of British Columbia","funders":"","keywords":"Race (biology); Intersection (aeronautics); Rank (graph theory); Anesthesiology; Psychology; Demography; Mathematics; Sociology; Gender studies; Geography; Combinatorics; Cartography","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":[0.002512011,0.0002218885,0.0005395985,0.001643596,0.002464742,0.003254542,0.00082136,0.001133515,0.006916822],"category_scores_gemma":[0.01307086,0.0002561358,0.0008248475,0.001728572,0.001684732,0.001217006,0.002329975,0.001587531,0.0003781451],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001466884,"about_ca_system_score_gemma":0.003869433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05721433,"about_ca_topic_score_gemma":0.1018275,"domain_scores_codex":[0.996749,0.001415559,0.0001277536,0.0001974581,0.0004970179,0.00101317],"domain_scores_gemma":[0.9878994,0.004135433,0.002316556,0.0004128393,0.001226932,0.004008942],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000194034,0.0003029137,0.9859393,0.00002060196,0.00009400766,0.0001101099,0.002365415,0.00007353043,0.00009882161,0.001328146,0.0006241217,0.008848983],"study_design_scores_gemma":[0.000009263223,0.00009943311,0.9859087,0.00005189262,0.00004491082,0.0001016988,0.01132724,0.0002538043,0.00003680264,0.001114977,0.001034653,0.00001667472],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913863,0.0008977575,0.00006342306,0.002095263,0.00006013129,0.000003874613,0.0001105519,0.000002357277,0.005380385],"genre_scores_gemma":[0.9992071,0.0001928906,0.00002644987,0.0001013355,0.00004408344,0.000001938624,0.00003219058,0.000002326008,0.0003917571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9985331,"threshold_uncertainty_score":0.1137626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0331047258861181,"score_gpt":0.2579444626418779,"score_spread":0.2248397367557598,"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."}}