{"id":"W1658147238","doi":"10.1007/bf03404573","title":"Income Inequality and Health","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Social Sciences and Humanities Research Council of Canada; University of British Columbia","keywords":"Economic inequality; Inequality; Population; Population health; Health equity; Mortality rate; Demography; Income distribution; Gini coefficient; Demographic economics; Social inequality; Distribution (mathematics); Social determinants of health; Geography; Community health; Economics; Socioeconomics; Sociology; Economic growth; Health care","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0007153112,0.0001789298,0.0003086754,0.002109684,0.001874917,0.002162584,0.0003410784,0.0008008017,0.01389183],"category_scores_gemma":[0.003608928,0.0001319775,0.0003247425,0.003160829,0.001111993,0.001271469,0.001876022,0.00145682,0.0006940538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001964523,"about_ca_system_score_gemma":0.002308276,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1025597,"about_ca_topic_score_gemma":0.156854,"domain_scores_codex":[0.9993817,0.0001399288,0.00002857351,0.00003831833,0.0001098244,0.0003016136],"domain_scores_gemma":[0.9983371,0.0003392697,0.0003280946,0.00006397252,0.0002439162,0.0006874789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001781825,0.0004646219,0.7807393,0.00009316151,0.0001986532,0.0003609945,0.00376574,0.0005428731,0.00006765587,0.1327665,0.0290538,0.05176847],"study_design_scores_gemma":[0.00002166373,0.00006915164,0.8919613,0.0003022796,0.0001254433,0.0002071962,0.008506423,0.0005048494,0.00006039981,0.04625924,0.05195926,0.00002278066],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6651555,0.03066786,0.0004660122,0.1202542,0.0006601097,0.00003840658,0.005337703,0.00002487028,0.1773954],"genre_scores_gemma":[0.9881265,0.004238549,0.00008117322,0.001149372,0.0002349428,0.00001397137,0.0005260675,0.000003742806,0.005625575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8974403,"threshold_uncertainty_score":0.2039255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2043398466751446,"score_gpt":0.3945212814793055,"score_spread":0.1901814348041609,"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."}}