{"id":"W3208373916","doi":"10.1111/ans.17320","title":"Gender associations with selection into Australian Orthopaedic Surgical Training: 2007–2019","year":2021,"lang":"en","type":"article","venue":"ANZ Journal of Surgery","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal College of Physicians and Surgeons of Canada; University of Ottawa","funders":"","keywords":"Medicine; Selection (genetic algorithm); Diversity (politics); Curriculum; Orthopedic surgery; Diversity training; Gender diversity; Perspective (graphical); Personnel selection; Family medicine; Medical education; Psychology; Surgery; Pedagogy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002691328,0.00006535871,0.0002367733,0.0001222924,0.0003430882,0.00007387029,0.0001054521,0.00009547338,0.0009985839],"category_scores_gemma":[0.0004000662,0.00005686984,0.0001649241,0.0005385483,0.0001359235,0.0003219053,0.00001169197,0.0002783494,0.00001204381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001189891,"about_ca_system_score_gemma":0.001338952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002010732,"about_ca_topic_score_gemma":0.0002546653,"domain_scores_codex":[0.9981804,0.0002597952,0.0002567044,0.00009015615,0.0009782544,0.000234647],"domain_scores_gemma":[0.9984839,0.0004049705,0.0002364617,0.000045006,0.0006253344,0.0002043425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006577908,0.0001562938,0.7159748,0.000013643,0.000305512,0.001760358,0.02072973,0.00004035116,0.00004462893,0.001510575,0.2466881,0.01271018],"study_design_scores_gemma":[0.0008944945,0.0001060143,0.1678003,0.0001672249,0.0002698523,0.0005264596,0.0938499,0.000002004635,0.0001004462,0.001043221,0.7349517,0.000288305],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740797,0.0004478855,0.0001343501,0.009907468,0.001614059,0.00003830136,0.00000452548,0.0000226951,0.01375103],"genre_scores_gemma":[0.9939705,0.0004968526,0.0002177778,0.0003638921,0.001308355,3.037065e-7,0.000008341523,0.000005602451,0.003628362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5481745,"threshold_uncertainty_score":0.9999146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09995300457583249,"score_gpt":0.3177167481202833,"score_spread":0.2177637435444508,"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."}}