{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007034175,0.0003155044,0.0005692531,0.0002443127,0.0007889832,0.00006363384,0.0002403977,0.0002020707,0.001292808],"category_scores_gemma":[0.00001589741,0.0002924887,0.00009272605,0.0002194694,0.0003662453,0.0001166755,0.00003190674,0.0003905415,0.000525995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001557684,"about_ca_system_score_gemma":0.0006271426,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02459824,"about_ca_topic_score_gemma":0.01613122,"domain_scores_codex":[0.9963351,0.0005953985,0.0006985928,0.0006911495,0.0003037263,0.001376055],"domain_scores_gemma":[0.9980316,0.000110342,0.0002464656,0.0005419442,0.00007258879,0.0009971043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004043836,0.0006874464,0.4374228,0.004130559,0.0001878482,0.00002665101,0.09689496,5.106693e-7,0.000006854019,0.02042479,0.3233971,0.1164161],"study_design_scores_gemma":[0.002372905,0.002369678,0.92361,0.00004540826,0.0000192349,0.0001364458,0.006459981,0.00004154634,0.000001230582,0.002000017,0.06243444,0.0005091201],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6352884,0.02436375,0.002461938,0.1541393,0.007963762,0.002536017,0.000342385,0.0006081107,0.1722964],"genre_scores_gemma":[0.9802378,0.002369002,0.0002575641,0.01134935,0.001281136,0.00005059619,0.00001860113,0.0000519284,0.004383957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4861872,"threshold_uncertainty_score":0.9999527,"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."}}