{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003127525,0.0001610406,0.0002038188,0.0008605685,0.0006928833,0.0006584856,0.0005473465,0.0003708284,0.003339786],"category_scores_gemma":[0.01352916,0.0001529037,0.0002882819,0.0009775762,0.000566191,0.0005106878,0.001572294,0.0006814178,0.0005163075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001075132,"about_ca_system_score_gemma":0.001353826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0238944,"about_ca_topic_score_gemma":0.04191007,"domain_scores_codex":[0.9980612,0.0006156595,0.0001534187,0.0001932402,0.0005687054,0.0004077131],"domain_scores_gemma":[0.9900768,0.001577399,0.004124715,0.0002759569,0.002036982,0.001908153],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001185015,0.00003090011,0.9891377,0.0000354355,0.00001614267,0.00008142586,0.002289866,0.00005377406,0.0001753048,0.00008569795,0.0008312574,0.007143861],"study_design_scores_gemma":[9.559183e-7,0.00004865778,0.9980189,0.00001851728,0.000003008311,0.00005427132,0.001314306,0.0001009865,0.00004087483,0.00001816532,0.0003789269,0.000002462809],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973369,0.0002399206,0.0001120987,0.0005162039,0.00003551653,0.00001857237,0.0003088749,0.000005252125,0.001426557],"genre_scores_gemma":[0.9991371,0.00008418978,0.00005070313,0.00004449591,0.00001473859,0.00001267813,0.0001458162,0.000002549991,0.0005077485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9968725,"threshold_uncertainty_score":0.04751062,"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."}}