{"id":"W3012469134","doi":"10.36834/cmej.53009","title":"Learning by chance: Investigating gaps in transgender care education amongst family medicine, endocrinology, psychiatry and urology residents","year":2020,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"LGBTQ Health, Identity, and Policy","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Toronto East General Hospital; University of Toronto","funders":"Royal College of Surgeons in Ireland","keywords":"Transgender; Curriculum; Specialty; Health care; Stigma (botany); Medicine; Population; Psychosocial; Medical education; Psychology; Family medicine; Psychiatry; Pedagogy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003810775,0.000178249,0.000256892,0.0004449386,0.0003788598,0.0000405755,0.000297537,0.0003400472,0.004094676],"category_scores_gemma":[0.003079319,0.000186804,0.00003422647,0.0003815792,0.0003554305,0.000127345,0.0000117875,0.001821494,0.00005917696],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002355014,"about_ca_system_score_gemma":0.02491149,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1455638,"about_ca_topic_score_gemma":0.06704462,"domain_scores_codex":[0.9975486,0.0005400887,0.0005897114,0.0003588751,0.000325105,0.0006376015],"domain_scores_gemma":[0.9938195,0.00006327342,0.0001930378,0.0001271474,0.000159116,0.005637899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001239137,0.00005432027,0.4696754,0.0002345137,0.00002076242,0.00001687048,0.02326981,0.000001182245,0.00001910255,0.00160316,0.4458598,0.05923264],"study_design_scores_gemma":[0.001493668,0.0003843223,0.8015498,0.0001605918,0.00006337909,0.0007050085,0.05429478,0.00002204615,6.215968e-7,0.001452474,0.1395629,0.0003104259],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6495423,0.02830915,0.00001285731,0.301996,0.00535578,0.0001952315,0.000005679181,0.00002016876,0.0145628],"genre_scores_gemma":[0.8717293,0.002067397,0.00008901419,0.1215033,0.003780506,0.00003874288,0.00005707161,0.00003193732,0.0007028361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3318744,"threshold_uncertainty_score":0.9968157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02487088686919915,"score_gpt":0.3581930749504958,"score_spread":0.3333221880812967,"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."}}