{"id":"W4402311290","doi":"10.1136/jech-2024-222262","title":"State-level association between income inequality and mortality in the USA, 1989–2019: ecological study","year":2024,"lang":"en","type":"article","venue":"Journal of Epidemiology & Community Health","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Hospital for Sick Children; York University; Public Health Ontario; University of Toronto; Queen's University; McMaster University","funders":"Canadian Institutes of Health Research","keywords":"Inequality; Ecological study; Ecology; Association (psychology); Economic inequality; State (computer science); Geography; Demography; Economics; Biology; Sociology; Mathematics; Psychology; Population","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009431558,0.0001478325,0.0002114095,0.001073467,0.000467586,0.0004552239,0.0004146297,0.0003583682,0.001232792],"category_scores_gemma":[0.002443272,0.0001633393,0.0004605172,0.001815857,0.0003780727,0.0005066502,0.0008311159,0.0006824408,0.0002207644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007997699,"about_ca_system_score_gemma":0.0006023837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0613722,"about_ca_topic_score_gemma":0.1261441,"domain_scores_codex":[0.9995932,0.000132391,0.00004055897,0.00009194536,0.00005790499,0.00008404935],"domain_scores_gemma":[0.9977247,0.0004134919,0.001067355,0.0001916335,0.0003571176,0.0002455951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003543286,0.00006586048,0.9981722,0.000006537203,0.00005551792,0.00002086778,0.0001066263,0.00007137635,0.00003875553,0.00002943607,0.0004169769,0.0009805426],"study_design_scores_gemma":[0.000001428009,0.00001534312,0.9994882,0.000003007154,0.000009862889,0.00001989901,0.0001013051,0.000205502,0.00001040338,0.00001381295,0.000129603,0.000001584713],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977956,0.0001019094,0.0001091348,0.0001159129,0.000005092035,0.000008635837,0.001407229,0.000005338275,0.0004511085],"genre_scores_gemma":[0.9982311,0.00006715406,0.00009515117,0.00004377682,0.00001012018,0.00001266719,0.00139512,0.000002066497,0.0001429064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0613722,"threshold_uncertainty_score":0.1220299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3302700030631329,"score_gpt":0.5242916146765608,"score_spread":0.1940216116134279,"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."}}