{"id":"W4321078871","doi":"10.1097/01.gox.0000921676.92406.04","title":"32. Gender Surgery Training in Plastic &amp; Reconstructive Surgery Programs: A Description of the Current Academic Landscape","year":2023,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery Global Open","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subspecialty; Reconstructive surgery; Medicine; Plastic surgery; Pediatric surgery; Residency training; Graduate medical education; Logistic regression; Univariate analysis; General surgery; Surgery; Family medicine; Medical education; Multivariate analysis; Accreditation; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008282737,0.0001077765,0.00007609449,0.001347516,0.001170115,0.001014657,0.0004222458,0.0001828995,0.003715772],"category_scores_gemma":[0.002028552,0.00008541896,0.0001460275,0.00186831,0.0009008389,0.0006324822,0.001113635,0.0002990453,0.0003827782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004865978,"about_ca_system_score_gemma":0.009732193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1464543,"about_ca_topic_score_gemma":0.359312,"domain_scores_codex":[0.9991593,0.00009967569,0.0000463125,0.00008847815,0.0002966252,0.0003096392],"domain_scores_gemma":[0.9976622,0.0001551343,0.0007130564,0.00002991976,0.0004802104,0.0009594188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004063547,0.00005766328,0.9463992,0.00009646657,0.000007720774,0.0002826525,0.001690872,0.0002063854,0.0004866191,0.000493378,0.002946192,0.04729224],"study_design_scores_gemma":[0.000001986518,0.00004146251,0.9889476,0.00008043821,0.000004021914,0.0004262915,0.004887698,0.0001747086,0.0001113443,0.00009047826,0.005228075,0.00000600415],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984959,0.002264989,0.0002497464,0.003521077,0.00003873403,0.00003357542,0.0007942137,0.00001823404,0.0081205],"genre_scores_gemma":[0.9969745,0.001326189,0.0002707603,0.0002434948,0.00002582761,0.00001453471,0.0003434351,0.000005511002,0.0007958114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1464543,"threshold_uncertainty_score":0.2912037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1648379177802624,"score_gpt":0.3333006788665664,"score_spread":0.1684627610863041,"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."}}