{"id":"W4386046092","doi":"10.1186/s12889-023-16178-6","title":"Can lifestyle factors explain racial and ethnic inequalities in all-cause mortality among US adults?","year":2023,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; Centre for Addiction and Mental Health; Western University","funders":"National Institute on Alcohol Abuse and Alcoholism","keywords":"Medicine; Biostatistics; Ethnic group; Public health; Epidemiology; Environmental health; Inequality; Demography; Gerontology; Internal medicine; Pathology","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":[0.003116661,0.0005786341,0.0005233929,0.0009289326,0.0005375056,0.001137648,0.0008656742,0.0009216273,0.003733577],"category_scores_gemma":[0.0108594,0.0003528743,0.001954108,0.001374211,0.0008749457,0.001151252,0.001407465,0.001279769,0.0004149794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005866418,"about_ca_system_score_gemma":0.001487915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0266077,"about_ca_topic_score_gemma":0.02454919,"domain_scores_codex":[0.998524,0.0005666444,0.0001192148,0.000336642,0.0001552241,0.0002982779],"domain_scores_gemma":[0.996235,0.001373028,0.001265515,0.000530448,0.0002723194,0.0003237018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009291603,0.00006239503,0.9913016,0.00007364745,0.000556639,0.00005533923,0.0002919081,0.0002702656,0.00005949178,0.0007470981,0.0004316911,0.006057032],"study_design_scores_gemma":[0.00001539256,0.0000711747,0.9905567,0.0001769521,0.000469781,0.00008560935,0.0006912667,0.002399266,0.0000774142,0.003763813,0.001678083,0.00001451322],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673703,0.0108003,0.003437076,0.009753237,0.0002605009,0.00008439701,0.002463049,0.00005193938,0.005779236],"genre_scores_gemma":[0.9973618,0.001011195,0.0004411987,0.0004255696,0.0000935506,0.00002912623,0.0004089709,0.000007805193,0.0002206418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0266077,"threshold_uncertainty_score":0.05290562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2490082419571165,"score_gpt":0.4379635629294882,"score_spread":0.1889553209723717,"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."}}