{"id":"W3196411496","doi":"10.1016/j.ssmph.2021.100904","title":"Income inequality and COVID-19 mortality: Age-stratified analysis of 22 OECD countries","year":2021,"lang":"en","type":"article","venue":"SSM - Population Health","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Toronto Metropolitan University","funders":"","keywords":"Poisson regression; Gini coefficient; Inequality; Economic inequality; Multivariate statistics; Demography; Poverty; Coronavirus disease 2019 (COVID-19); Mortality rate; Pandemic; Demographic economics; Economics; Statistics; Medicine; Mathematics; Population; Economic growth; Sociology","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":[0.001516048,0.0003307961,0.0005068808,0.00180153,0.0004957772,0.0007544218,0.0002981579,0.0002851327,0.001262578],"category_scores_gemma":[0.003001298,0.0001444761,0.0009502333,0.002433471,0.0003418973,0.0004013188,0.001237545,0.000471118,0.0001845977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005191091,"about_ca_system_score_gemma":0.0005119442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04443569,"about_ca_topic_score_gemma":0.03962652,"domain_scores_codex":[0.9991692,0.0003783472,0.00006411609,0.0001176501,0.00007679709,0.0001939],"domain_scores_gemma":[0.9983438,0.0003237056,0.0007651103,0.0001939107,0.0001966158,0.0001767639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006471348,0.00001725047,0.9977608,0.00001003181,0.0001383033,0.00006859882,0.0001242937,0.0002619859,0.00004484984,0.00006962516,0.0002415961,0.001198011],"study_design_scores_gemma":[0.000003125315,0.0000291251,0.9984624,0.00001046739,0.00004513178,0.00006203117,0.0004394124,0.0004389909,0.00002874795,0.00004596705,0.0004292373,0.00000529921],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976044,0.0002271584,0.0002144517,0.00004070912,0.000005910764,0.0000128392,0.001392147,0.000005653887,0.0004966935],"genre_scores_gemma":[0.9973472,0.0001501553,0.0001763442,0.00003702946,0.000009268027,0.00002629039,0.002101875,0.000005374025,0.0001463447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04443569,"threshold_uncertainty_score":0.08835405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1137602627579425,"score_gpt":0.46724772501509,"score_spread":0.3534874622571476,"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."}}