{"id":"W4409046838","doi":"10.1093/ajh/hpaf050","title":"Racial and Gender Discrimination When Tailoring Medical Management to Hypertension Treatment in Latin America","year":2025,"lang":"en","type":"article","venue":"American Journal of Hypertension","topic":"Sex and Gender in Healthcare","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"National Heart, Lung, and Blood Institute; National Institute on Aging","keywords":"Disadvantaged; Socioeconomic status; Medicine; Ethnic group; Health care; Health equity; Economic growth; Public health; Gerontology; Environmental health; Political science; Population; Nursing","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":[0.02967604,0.0003113404,0.0005998542,0.001079101,0.002951448,0.003599436,0.001466319,0.002669813,0.00566336],"category_scores_gemma":[0.07515483,0.0002567843,0.001146437,0.001271024,0.002062278,0.001908593,0.003912043,0.004524622,0.0009576638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003672314,"about_ca_system_score_gemma":0.02559125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04969924,"about_ca_topic_score_gemma":0.1185572,"domain_scores_codex":[0.9813837,0.01098772,0.001616277,0.0005718268,0.003702938,0.00173746],"domain_scores_gemma":[0.9779961,0.01102435,0.002537504,0.0007716538,0.005536871,0.002133476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003546643,0.0003009462,0.109875,0.00332823,0.0002230628,0.0005182364,0.02234133,0.0002239695,0.0009856949,0.01278525,0.2272891,0.6217744],"study_design_scores_gemma":[0.0002953066,0.0002133934,0.1150376,0.03497003,0.0005953973,0.0005283111,0.04138003,0.0005108771,0.001351288,0.01366256,0.791294,0.0001611546],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04919569,0.06039765,0.003957243,0.7673944,0.01261721,0.0005331585,0.001029139,0.0001166721,0.1047589],"genre_scores_gemma":[0.5156533,0.09566311,0.01880429,0.3433094,0.006372795,0.001839726,0.001692719,0.0002474399,0.0164172],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04969924,"threshold_uncertainty_score":0.1569437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0724064053689945,"score_gpt":0.3344509140038107,"score_spread":0.2620445086348162,"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."}}