{"id":"W2523167711","doi":"","title":"Socioeconomic status and cardiovascular disease : Universal inequities and the challenges that lie ahead","year":2000,"lang":"en","type":"article","venue":"Cardiovascular reviews & reports","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Medicine; Health equity; Health care; Disease; Gerontology; Environmental health; Public health; Nursing; Pathology; Population; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001012728,0.0002160112,0.0004793653,0.0009163622,0.001253967,0.001947734,0.0003741359,0.0006557057,0.002384168],"category_scores_gemma":[0.003080842,0.0001023749,0.0001822354,0.001418074,0.002946098,0.001336004,0.001801898,0.001282061,0.0001088157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003370165,"about_ca_system_score_gemma":0.004607838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2063977,"about_ca_topic_score_gemma":0.424694,"domain_scores_codex":[0.9992943,0.0001630958,0.00003532772,0.00007179342,0.0002453458,0.0001900834],"domain_scores_gemma":[0.9988962,0.0003036739,0.000200346,0.00004773419,0.0002373452,0.0003146548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001113437,0.00008029883,0.4843436,0.0008229408,0.0003141677,0.0007452103,0.006000129,0.0007319227,0.0005547942,0.06602876,0.01405087,0.426216],"study_design_scores_gemma":[0.000007939357,0.00006167009,0.9043978,0.001373553,0.0001168944,0.0006957498,0.01130197,0.0005527573,0.0001757101,0.04642464,0.03484688,0.00004440985],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.431391,0.2945603,0.002340815,0.2281098,0.0007466982,0.00003003852,0.0008446985,0.00004207765,0.04193468],"genre_scores_gemma":[0.9389933,0.05654278,0.0004106057,0.002496965,0.0004597327,0.000005681087,0.000109203,0.000005688943,0.0009760469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2063977,"threshold_uncertainty_score":0.4103927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04231877388008601,"score_gpt":0.2808901609168581,"score_spread":0.2385713870367721,"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."}}