{"id":"W4321456377","doi":"10.1161/jaha.122.027919","title":"Social Determinants, Cardiovascular Disease, and Health Care Cost: A Nationwide Study in the United States Using Machine Learning","year":2023,"lang":"en","type":"article","venue":"Journal of the American Heart Association","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Saint Vincent University","funders":"National Institute on Aging","keywords":"Medicine; Disease; Social determinants of health; Health care; Gerontology; Cardiovascular health; Public health; Intensive care medicine; Internal medicine; Nursing; Economic growth","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":[0.001735838,0.0002336933,0.0002955688,0.00118289,0.0006844319,0.0004947874,0.0004698504,0.0004407291,0.0008015159],"category_scores_gemma":[0.003345478,0.0002859538,0.0005186719,0.002359448,0.0002776442,0.000613633,0.0007328332,0.0007429881,0.0001345656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008198966,"about_ca_system_score_gemma":0.001072852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07801309,"about_ca_topic_score_gemma":0.0944488,"domain_scores_codex":[0.9990657,0.0004760251,0.00007663009,0.0001370733,0.0001224207,0.0001221978],"domain_scores_gemma":[0.9979699,0.0006966224,0.000564861,0.0002014209,0.000287977,0.0002791877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001402325,0.00008791935,0.9983027,0.000004971763,0.00003903612,0.00001425052,0.0000458041,0.0001500854,0.00001484054,0.0000158287,0.0002478644,0.001062524],"study_design_scores_gemma":[0.000004782053,0.0000261401,0.9976609,0.000008842295,0.00002752577,0.00003271042,0.0002433912,0.001763335,0.00001473219,0.00005053396,0.000163429,0.00000355168],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980497,0.0001069154,0.0002713438,0.000164635,0.000004698973,0.00001858542,0.001170738,0.000004491739,0.0002089335],"genre_scores_gemma":[0.9984099,0.00009183494,0.0003213523,0.00006152583,0.000008221882,0.00003394806,0.0009991493,0.00000191123,0.00007208159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07801309,"threshold_uncertainty_score":0.155118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05589183177511102,"score_gpt":0.3992939869039435,"score_spread":0.3434021551288324,"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."}}