{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001279819,0.0001293669,0.0001709437,0.0007527224,0.0003197278,0.0004132255,0.0002448065,0.0002298494,0.001835685],"category_scores_gemma":[0.004189463,0.0000854465,0.0003720421,0.0009793806,0.0002689045,0.0002337312,0.0005883999,0.0004375598,0.0001238283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003818441,"about_ca_system_score_gemma":0.0005028532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006731669,"about_ca_topic_score_gemma":0.01020291,"domain_scores_codex":[0.9993821,0.0002657777,0.00004689422,0.00009837603,0.00009896509,0.0001077252],"domain_scores_gemma":[0.9972757,0.0007961774,0.001317483,0.0001667134,0.0001944697,0.0002494962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002173832,0.00001829901,0.9980555,0.00000770565,0.00004243405,0.000008896893,0.00002646024,0.00007073958,0.00002050641,0.00005273439,0.00009006965,0.001585042],"study_design_scores_gemma":[0.000002249852,0.00002271613,0.9990897,0.00001165441,0.00002788917,0.00003823181,0.00006661365,0.0003408697,0.00002332601,0.00016023,0.0002151515,0.000001494766],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970002,0.0007054066,0.0001690219,0.0003782798,0.000009418719,0.000012719,0.0005938517,0.000004597537,0.001126509],"genre_scores_gemma":[0.9993777,0.0001536442,0.00008024788,0.00004159479,0.00001558092,0.000007057763,0.0002619909,9.287643e-7,0.00006125523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006731669,"threshold_uncertainty_score":0.01338494,"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."}}