{"id":"W4304690294","doi":"10.1016/j.xkme.2022.100557","title":"Race and Mortality in Hemodialysis Patients in Brazil","year":2022,"lang":"en","type":"article","venue":"Kidney Medicine","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Forskningsrådet för Arbetsliv och Socialvetenskap; Law Foundation of Saskatchewan; American Heart Association","keywords":"Hemodialysis; Medicine; Demography; Dialysis; Prospective cohort study; Proportional hazards model; Confounding; Race (biology); Cohort; Gerontology; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008963622,0.0002861411,0.0003002119,0.001218392,0.0005646263,0.000678614,0.0004108769,0.000233715,0.001684826],"category_scores_gemma":[0.003364929,0.0001744533,0.0005574939,0.001068731,0.0006058366,0.0003339403,0.000903356,0.0003403095,0.0001222183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001031678,"about_ca_system_score_gemma":0.0009712697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03492664,"about_ca_topic_score_gemma":0.04270127,"domain_scores_codex":[0.9993228,0.0002292602,0.00007414135,0.0001369628,0.0001169959,0.0001198826],"domain_scores_gemma":[0.9982496,0.0002783192,0.0009463416,0.0001466214,0.0001940592,0.0001850854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000344357,0.00001859303,0.997382,0.00004309815,0.00003450477,0.00004743008,0.0003152868,0.0000295726,0.0001106002,0.0001376017,0.0001361177,0.001710709],"study_design_scores_gemma":[0.00001243267,0.00005533585,0.9974905,0.0001069678,0.00005971068,0.0002568285,0.0006941264,0.0002347779,0.00009109759,0.0001659684,0.0008247291,0.000007498477],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943438,0.001434447,0.0002757673,0.0005439177,0.00001729489,0.00007871413,0.001159541,0.000008370293,0.002138177],"genre_scores_gemma":[0.9985093,0.000581786,0.0002118898,0.00008464343,0.0000187813,0.00006151202,0.0004122663,0.000002654119,0.0001170099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03492664,"threshold_uncertainty_score":0.06944674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01289179018696378,"score_gpt":0.2860964023977298,"score_spread":0.273204612210766,"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."}}