{"id":"W2890540419","doi":"10.23889/ijpds.v3i4.806","title":"Trends in Socioeconomic Inequalities in Ischemic Heart Disease, 2000-2012","year":2018,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; Institute for Work & Health; Public Health Ontario; University of Toronto","funders":"","keywords":"Socioeconomic status; Poisson regression; Inequality; Medicine; Demography; Ethnic group; Relative risk; Household income; Confidence interval; Geography; Environmental health; Population; Internal medicine; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002359759,0.00008055488,0.0001274618,0.000930877,0.000169054,0.0003030956,0.001043101,0.00003092352,0.000281745],"category_scores_gemma":[0.0006472559,0.00007520517,0.00002850331,0.0003412175,0.0001514143,0.005890239,0.0003221254,0.0001075002,0.00006930583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000244751,"about_ca_system_score_gemma":0.0001192353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006334564,"about_ca_topic_score_gemma":0.001474414,"domain_scores_codex":[0.9986144,0.00001327962,0.0005180747,0.0002555803,0.0002472046,0.0003514536],"domain_scores_gemma":[0.9992686,0.000052553,0.0002398673,0.0001961855,0.0002043266,0.0000384773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009734789,0.00005744714,0.5292407,0.00001357736,0.000005075418,0.000002022862,0.00005106151,0.0009100506,0.00004026943,0.04814985,0.4118499,0.009582661],"study_design_scores_gemma":[0.0002921739,0.000004392587,0.4419799,0.0000201835,0.000001649438,0.000003597627,0.00005410368,0.05204874,2.992479e-7,0.006446316,0.4990728,0.00007584327],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9163933,0.00006353462,0.0003795544,0.07527969,0.004075526,0.0001189393,0.000117132,0.00002246986,0.00354984],"genre_scores_gemma":[0.9837462,0.000007152389,0.00031681,0.01295972,0.00250373,0.000005384169,0.0003072881,0.00000586389,0.0001478787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08726085,"threshold_uncertainty_score":0.9576008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1065127848834008,"score_gpt":0.4138982659122497,"score_spread":0.3073854810288489,"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."}}