{"id":"W4382774508","doi":"10.1093/aje/kwad149","title":"Latino? Latinx? Latine? A Call for Inclusive Categories in Epidemiologic Research","year":2023,"lang":"en","type":"article","venue":"American Journal of Epidemiology","topic":"LGBTQ Health, Identity, and Policy","field":"Psychology","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"National Institute on Minority Health and Health Disparities; National Institutes of Health; University of Toronto; U.S. Department of Health and Human Services","keywords":"Transgender; Context (archaeology); Popularity; Diversity (politics); Population; Gender diversity; Sociology; Gender studies; Psychology; Gerontology; Social psychology; Demography; Geography; Medicine; Anthropology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03146117,0.0002538676,0.001682014,0.001350153,0.0002760313,0.000008619491,0.0006780078,0.0002730481,0.0001580784],"category_scores_gemma":[0.04227923,0.0002049414,0.0003054338,0.001775211,0.001406421,0.0001117778,0.0001971682,0.001370799,0.0002859439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002639542,"about_ca_system_score_gemma":0.0004096864,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01633342,"about_ca_topic_score_gemma":0.001299298,"domain_scores_codex":[0.9860478,0.009280479,0.002303714,0.0004790504,0.0002147562,0.001674205],"domain_scores_gemma":[0.9527754,0.04429711,0.001550149,0.0004522622,0.0005698664,0.0003552672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005099473,0.00009540134,0.775344,0.00009384161,0.0001004565,0.000104539,0.00251493,0.0003172059,0.00002721619,0.05511998,0.1427932,0.02297931],"study_design_scores_gemma":[0.001251967,0.003071743,0.751523,0.0000338369,0.00003782972,0.0001912673,0.002207208,0.0003211916,0.000001228113,0.2068956,0.03421435,0.0002508078],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9119356,0.001385904,0.001362719,0.0732459,0.001700009,0.0006350814,0.00005363173,0.00006746345,0.009613658],"genre_scores_gemma":[0.9845768,0.001619039,0.004296109,0.004273915,0.002033496,0.000120099,0.00003110718,0.00005729139,0.002992097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1517756,"threshold_uncertainty_score":0.9973145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2387111854505931,"score_gpt":0.5505440368921869,"score_spread":0.3118328514415938,"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."}}