{"id":"W4293567288","doi":"10.1177/13558196221123413","title":"State-level heterogeneity in associations between structural stigma and individual health care access: A multilevel analysis of transgender adults in the United States","year":2022,"lang":"en","type":"article","venue":"Journal of Health Services Research & Policy","topic":"LGBTQ Health, Identity, and Policy","field":"Psychology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Transgender; Medicaid; Stigma (botany); Behavioral Risk Factor Surveillance System; Psychological intervention; Health care; Health equity; Logistic regression; Multilevel model; Odds; Medicine; Gerontology; Psychology; Demography; Environmental health; Public health; Political science; Population; Psychiatry; Sociology; Nursing; Statistics","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":[0.003603827,0.0002315528,0.000640407,0.0009715905,0.001025679,0.0008844816,0.0007625547,0.000443767,0.001998223],"category_scores_gemma":[0.007592949,0.0002972707,0.00197639,0.001368965,0.000486309,0.0007166837,0.001823104,0.0009999716,0.000128423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009331933,"about_ca_system_score_gemma":0.0009956226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06040988,"about_ca_topic_score_gemma":0.09688889,"domain_scores_codex":[0.9979795,0.001041725,0.0001869566,0.0003781483,0.0001829016,0.0002309802],"domain_scores_gemma":[0.9950571,0.001426725,0.001728442,0.0009195214,0.0005102077,0.0003580352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004679184,0.00003785595,0.9968714,0.00001836242,0.0004617777,0.00002602414,0.0004697438,0.0001850316,0.00007321434,0.0001092154,0.0002162999,0.001484254],"study_design_scores_gemma":[0.000005601335,0.00004262599,0.9967505,0.00003619246,0.0001779496,0.00003971516,0.0008728462,0.00158478,0.00004594302,0.0002214067,0.0002134414,0.000009086075],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977934,0.0002448389,0.0006656423,0.0002502784,0.000007877602,0.00002192868,0.0007222206,0.000008598485,0.0002852382],"genre_scores_gemma":[0.9991572,0.00005115249,0.0003015423,0.00004273547,0.000004027559,0.00001657201,0.0003676171,0.000002796542,0.00005632288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06040988,"threshold_uncertainty_score":0.1201165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2280812784256143,"score_gpt":0.5377653122416876,"score_spread":0.3096840338160732,"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."}}