{"id":"W3155809284","doi":"10.24908/iqurcp.14686","title":"Racial, ethnic and socioeconomic disparities in diagnosis, treatment, and survival of patients with breast cancer- A Population Analysis in the United States","year":2021,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; Princess Margaret Cancer Centre; University of Toronto; University Health Network; Queen's University","funders":"","keywords":"Socioeconomic status; Medicine; Breast cancer; Ethnic group; Cancer; Demography; Population; Disease; Cancer registry; Retrospective cohort study; Health equity; Gerontology; Internal medicine; Environmental health; Public health; Pathology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006395516,0.00009795376,0.0002298073,0.0006368695,0.0003348502,0.000443914,0.0001463234,0.0001910535,0.001053898],"category_scores_gemma":[0.001314887,0.0001416358,0.0002430381,0.001097448,0.0001806186,0.0002554376,0.0004065614,0.000271546,0.0001356033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002914692,"about_ca_system_score_gemma":0.0004212405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01111618,"about_ca_topic_score_gemma":0.02132618,"domain_scores_codex":[0.9996253,0.0001343131,0.00003719288,0.00005215876,0.00009773688,0.00005332376],"domain_scores_gemma":[0.9996027,0.00007285667,0.0001587503,0.00003324171,0.0000561433,0.00007628902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002083906,0.00001402108,0.9984376,0.000003548586,0.00002939673,0.00001792683,0.00003614704,0.00001763759,0.00003810224,0.00001706305,0.0001749161,0.001192759],"study_design_scores_gemma":[0.000002619699,0.00001679943,0.9994318,0.000003469828,0.00001687702,0.000069308,0.0001509788,0.00008683088,0.00001815644,0.00002106948,0.0001807824,0.000001381722],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982272,0.0004290728,0.00006373299,0.000179692,0.000005873903,0.000005206055,0.0004955229,0.000003173968,0.0005905955],"genre_scores_gemma":[0.9991197,0.0002204215,0.00004431845,0.00006764192,0.0000110313,0.000008266817,0.0004240014,0.000001031788,0.0001035219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01111618,"threshold_uncertainty_score":0.02210295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1398643926876733,"score_gpt":0.4126653987421234,"score_spread":0.2728010060544501,"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."}}