{"id":"W3191905581","doi":"10.1080/13691058.2021.1957151","title":"Improving menstrual equity in the USA: perspectives from trans and non-binary people assigned female at birth and health care providers","year":2021,"lang":"en","type":"article","venue":"Culture Health & Sexuality","topic":"LGBTQ Health, Identity, and Policy","field":"Psychology","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"National Institute of Mental Health","keywords":"Menstruation; Health care; Public health; Equity (law); Transgender; Toilet; Medicine; Psychology; Nursing; Family medicine; Political science","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"],"consensus_categories":[],"category_scores_codex":[0.001356366,0.0003336149,0.0006655719,0.00006715358,0.001139665,0.0001306312,0.0002230058,0.0002557837,0.0001063261],"category_scores_gemma":[0.00007400931,0.0002611456,0.00006718095,0.0003765576,0.0002260281,0.0002057817,0.0001738343,0.0007031975,0.00001079988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007266044,"about_ca_system_score_gemma":0.001382138,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2028358,"about_ca_topic_score_gemma":0.3382308,"domain_scores_codex":[0.9954674,0.001598196,0.0006495915,0.001011382,0.0003477497,0.0009256566],"domain_scores_gemma":[0.9983343,0.0001878303,0.0003129249,0.0006016611,0.0001196319,0.0004436225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001086743,0.000325909,0.3257731,0.003400404,0.00003561776,0.00002785435,0.6510234,4.530843e-7,0.0001375814,0.0006177702,0.01147392,0.007075347],"study_design_scores_gemma":[0.001402123,0.0004301521,0.8039638,0.00002902982,0.00002016036,0.0000411861,0.191544,0.000006289601,0.000003453186,0.0001544769,0.002182166,0.0002231464],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9377089,0.02757789,0.00005379527,0.03088119,0.0005123903,0.001127573,0.0004581418,0.00005054134,0.0016296],"genre_scores_gemma":[0.9896318,0.001389009,0.0002502029,0.006834489,0.0004695882,0.00008063664,0.0001651271,0.00002844165,0.001150703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4781907,"threshold_uncertainty_score":0.9999841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06644265295241442,"score_gpt":0.4355374656423875,"score_spread":0.3690948126899731,"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."}}