{"id":"W2864218404","doi":"10.1377/hlthaff.2018.0027","title":"Transgender And Cisgender US Veterans Have Few Health Differences","year":2018,"lang":"en","type":"article","venue":"Health Affairs","topic":"LGBTQ Health, Identity, and Policy","field":"Psychology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University College of the North","funders":"Agency for Healthcare Research and Quality; U.S. Department of Veterans Affairs","keywords":"Transgender; Military service; Gender dysphoria; Population; Medicine; Health care; Psychology; Odds; Gerontology; Psychiatry; Environmental health; Political science; Logistic regression","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":[],"consensus_categories":[],"category_scores_codex":[0.0006720902,0.0001276362,0.0002127857,0.0006787566,0.0009914869,0.0008746814,0.0002228252,0.0003077997,0.00815459],"category_scores_gemma":[0.003729299,0.0001211072,0.000278909,0.0009815712,0.0004668723,0.0006493807,0.0008312442,0.0004653727,0.0006527546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004526227,"about_ca_system_score_gemma":0.0006729759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01596035,"about_ca_topic_score_gemma":0.04276572,"domain_scores_codex":[0.9992549,0.0002475456,0.00005992621,0.0001107003,0.0001485192,0.0001783681],"domain_scores_gemma":[0.9991282,0.0001963925,0.0002337113,0.00008804468,0.0001699566,0.0001837344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001324498,0.00019242,0.9623,0.00005343337,0.00008578532,0.00007300196,0.002347979,0.00004951861,0.000333644,0.00221926,0.003287447,0.02892505],"study_design_scores_gemma":[0.00001336272,0.0001444377,0.9857882,0.00007510487,0.00004710568,0.0002068265,0.005545959,0.00009335033,0.0001893185,0.0008653426,0.0070239,0.000007048196],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740083,0.0009838456,0.0003879096,0.002169908,0.0001088622,0.00004051427,0.002375597,0.000008794349,0.01991624],"genre_scores_gemma":[0.9962716,0.000317326,0.000179379,0.0007479846,0.00002673597,0.00003724243,0.0009878837,0.000003138112,0.001428745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01596035,"threshold_uncertainty_score":0.03173488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09054114579247124,"score_gpt":0.4108516678026044,"score_spread":0.3203105220101332,"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."}}