{"id":"W1967817453","doi":"10.1136/bmj.320.7239.898","title":"Relation between income inequality and mortality in Canada and in the United States: cross sectional assessment using census data and vital statistics","year":2000,"lang":"en","type":"article","venue":"BMJ","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":458,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Socioeconomic status; Inequality; Demography; Census; Medicine; Government (linguistics); Quarter (Canadian coin); Cancer; Mortality rate; Gerontology; Environmental health; Geography; Population; Sociology","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":[0.001861513,0.00004618267,0.00009147815,0.00002306959,0.0002297464,0.00007893022,0.00006570142,0.00003368489,0.00001496029],"category_scores_gemma":[0.0001258738,0.00003907606,0.000002131493,0.000140702,0.00009710404,0.0001426594,0.00003758454,0.0001140041,3.96875e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002235307,"about_ca_system_score_gemma":0.0005570411,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9883385,"about_ca_topic_score_gemma":0.9882144,"domain_scores_codex":[0.9988629,0.0003605788,0.0002532856,0.0001275001,0.0002350911,0.0001606777],"domain_scores_gemma":[0.9992402,0.0005355707,0.00004815537,0.00009863797,0.00001818837,0.00005928643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003825277,0.000004100318,0.9979997,0.00002834215,0.000002554309,0.000003739499,0.001024091,0.00009128411,2.065701e-8,0.0004336737,0.00004217247,0.0003664853],"study_design_scores_gemma":[0.000176789,0.000003260792,0.9923784,0.00001179924,0.000003097068,6.151048e-7,0.00204202,0.00362867,1.283013e-8,0.0008375358,0.0008674572,0.00005038176],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978294,0.00002057951,0.00004460048,0.000717251,0.00004563554,0.0001812129,0.001073748,0.000002643844,0.00008489276],"genre_scores_gemma":[0.9989679,0.00007504069,0.0003041854,0.0003156262,0.00004870817,0.000002079191,0.000276686,0.000002023168,0.000007737337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005621349,"threshold_uncertainty_score":0.1767047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1529394035634575,"score_gpt":0.4684721461342072,"score_spread":0.3155327425707497,"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."}}