{"id":"W2050942680","doi":"10.1158/1055-9965.epi-08-0679","title":"Trends in Area-Socioeconomic and Race-Ethnic Disparities in Breast Cancer Incidence, Stage at Diagnosis, Screening, Mortality, and Survival among Women Ages 50 Years and Over (1987-2005)","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":227,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute on Minority Health and Health Disparities; U.S. Public Health Service","keywords":"Socioeconomic status; Demography; Ethnic group; Medicine; Breast cancer; Epidemiology; Health equity; Incidence (geometry); Mortality rate; Cancer; Gerontology; Population; Public health; Environmental health; Pathology; Internal medicine","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":[0.0008203287,0.0001617553,0.0002594779,0.001125627,0.0002355301,0.0004654446,0.0003552494,0.0004027529,0.0008956865],"category_scores_gemma":[0.001697945,0.0001026223,0.0002977526,0.0020168,0.0001423162,0.0003655792,0.0003748076,0.0003469416,0.0001781291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001108288,"about_ca_system_score_gemma":0.00107381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1160101,"about_ca_topic_score_gemma":0.1620743,"domain_scores_codex":[0.9996514,0.00006860687,0.00004412534,0.00006402718,0.00009667659,0.00007522764],"domain_scores_gemma":[0.9986111,0.0001470149,0.00057429,0.00004215774,0.0004592228,0.0001662201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004688466,0.00002899724,0.9955252,0.00003273255,0.00006852186,0.00001880452,0.00014213,0.0001674981,0.0000489677,0.00005468106,0.001198602,0.002666864],"study_design_scores_gemma":[0.000001909804,0.00001172933,0.9994437,0.000007806804,0.00001103441,0.00001698149,0.00007209302,0.0001148012,0.00001894798,0.000005801945,0.0002941935,9.76189e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898838,0.0009939398,0.0001025453,0.0002367997,0.0000105215,0.00001931418,0.007880406,0.00001367359,0.0008590987],"genre_scores_gemma":[0.99075,0.0005153084,0.000276748,0.0000959301,0.00001868251,0.00002525984,0.007921608,0.000002654761,0.0003937726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1160101,"threshold_uncertainty_score":0.2306696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09830847684407132,"score_gpt":0.4081061253934286,"score_spread":0.3097976485493572,"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."}}