{"id":"W2096565283","doi":"10.1093/ije/dyl163","title":"Social disadvantage and cardiovascular disease: development of an index and analysis of age, sex, and ethnicity effects","year":2006,"lang":"en","type":"article","venue":"International Journal of Epidemiology","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":136,"is_retracted":false,"has_abstract":true,"ca_institutions":"First Nations Health and Social Secretariat of Manitoba; Hamilton Health Sciences; University of Toronto; McMaster University; Population Health Research Institute","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Ethnic group; Disadvantage; Disease; Index (typography); Medicine; Gerontology; Demography; Sociology; Internal medicine; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.005158094,0.0006434743,0.000577959,0.003325929,0.0004288232,0.0007874063,0.0005628928,0.0003009017,0.001504708],"category_scores_gemma":[0.006691811,0.0001666615,0.001473803,0.002431279,0.0004373734,0.0006244592,0.001309595,0.0005630361,0.0001592735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000588498,"about_ca_system_score_gemma":0.001166091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006550355,"about_ca_topic_score_gemma":0.005302632,"domain_scores_codex":[0.9984853,0.0009051649,0.00008648514,0.0001140574,0.0003573832,0.00005167298],"domain_scores_gemma":[0.9972938,0.001196064,0.0005991528,0.0002966765,0.0003743835,0.0002398839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001367061,0.00007931201,0.9761893,0.0000436463,0.0005419909,0.00003914101,0.00009099377,0.0007541261,0.0002476465,0.0007379872,0.000391398,0.02074788],"study_design_scores_gemma":[0.00001726808,0.0003378908,0.9861648,0.00003384404,0.0003047545,0.0001488205,0.0001088547,0.009976279,0.0002103762,0.001333654,0.001347225,0.00001611498],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9385492,0.003034064,0.04826268,0.0005458558,0.0001367533,0.0006381847,0.003431695,0.0002232904,0.00517832],"genre_scores_gemma":[0.9640189,0.0007563058,0.03259759,0.00005256822,0.00009833379,0.0005285322,0.001352869,0.00003921854,0.0005556519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006550355,"threshold_uncertainty_score":0.02727896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04416683038548155,"score_gpt":0.4108159079899867,"score_spread":0.3666490776045052,"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."}}