{"id":"W4383874089","doi":"10.6004/jnccn.2023.7023","title":"Social Determinants of Health and Racial Disparities in Cardiac Events in Breast Cancer","year":2023,"lang":"en","type":"article","venue":"Journal of the National Comprehensive Cancer Network","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; Women's College Hospital; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Breast cancer; Mace; Health equity; Social determinants of health; Gerontology; Demography; Cancer; Internal medicine; Public health; Myocardial infarction; Percutaneous coronary intervention; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009692475,0.00007825164,0.0004118122,0.0001124634,0.0003249032,0.00001127042,0.0001816349,0.00006313853,0.00001358257],"category_scores_gemma":[0.00009727702,0.00006293257,0.0001022766,0.0006174548,0.0001405646,0.0001344652,0.00006218102,0.00022299,3.022053e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005018333,"about_ca_system_score_gemma":0.001442049,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007427192,"about_ca_topic_score_gemma":0.008468477,"domain_scores_codex":[0.9978465,0.0005371523,0.0005485583,0.00008433901,0.000643852,0.0003395893],"domain_scores_gemma":[0.9986556,0.0003754358,0.0004841519,0.00002697603,0.0003815779,0.0000762948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007493416,0.00001268048,0.9806695,0.000081468,0.00001784414,7.903371e-7,0.003606488,0.00179135,6.493448e-7,0.00107444,0.01000927,0.002660561],"study_design_scores_gemma":[0.0003727387,0.000007607437,0.9884363,0.000443197,0.000004485926,8.519124e-7,0.001232354,0.00006827248,5.046555e-7,0.003324224,0.006052265,0.00005717014],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9569966,0.006110208,3.7641e-7,0.03486042,0.001726923,0.0001812195,0.00006097,0.00000356852,0.00005976676],"genre_scores_gemma":[0.9898731,0.006168415,0.000007339667,0.002529967,0.001322826,0.00001183149,6.273385e-7,0.000006601944,0.00007929311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03287655,"threshold_uncertainty_score":0.9991825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07557736132578949,"score_gpt":0.4216993900098978,"score_spread":0.3461220286841082,"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."}}