{"id":"W2791899085","doi":"10.1158/1538-7445.sabcs17-p4-10-21","title":"Abstract P4-10-21: Disparities in the risk of mortality in breast cancer based on health insurance status","year":2018,"lang":"en","type":"article","venue":"Cancer Research","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Medicaid; Hazard ratio; Demography; Proportional hazards model; Breast cancer; Population; Confidence interval; Health care; Cancer; Emergency medicine; Internal medicine; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005833466,0.0001770089,0.000258951,0.0009828776,0.0004807649,0.0005726112,0.0004868498,0.0003562789,0.01034974],"category_scores_gemma":[0.003460479,0.00009950916,0.0006249707,0.002259335,0.0001720507,0.0003078904,0.0008553906,0.0005408752,0.0008792338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009216839,"about_ca_system_score_gemma":0.001602193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08515789,"about_ca_topic_score_gemma":0.0835096,"domain_scores_codex":[0.99951,0.00008510482,0.00005741147,0.00007163634,0.0001254288,0.0001502742],"domain_scores_gemma":[0.9986137,0.0001913132,0.0004804223,0.00006862042,0.0003476394,0.0002983055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001295632,0.00007877665,0.9811996,0.00007908814,0.0001023011,0.00005227462,0.00009316888,0.00008427549,0.0001327559,0.0001532681,0.01158689,0.006308037],"study_design_scores_gemma":[0.000006181872,0.00001753271,0.9984006,0.00002209277,0.00001953492,0.00002481641,0.00009229284,0.0001119095,0.00004173196,0.00005061196,0.001209941,0.000002713281],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9032332,0.001198223,0.0003802739,0.002086767,0.0001871394,0.0001505536,0.08375701,0.00004427123,0.00896266],"genre_scores_gemma":[0.9788113,0.0003260977,0.0002478636,0.0002986679,0.0001158571,0.0001004879,0.01773984,0.00001092074,0.002348991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08515789,"threshold_uncertainty_score":0.1693244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.218065938965968,"score_gpt":0.5019822557366014,"score_spread":0.2839163167706334,"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."}}