{"id":"W2792053139","doi":"10.1377/hlthaff.2017.1045","title":"Quality Of Breast Cancer Care In The US Territories: Insights From Medicare","year":2018,"lang":"en","type":"article","venue":"Health Affairs","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Smiths Detection (Canada)","funders":"National Institute on Minority Health and Health Disparities; National Center for Advancing Translational Sciences; National Cancer Institute","keywords":"Medicine; Odds; Breast cancer; Odds ratio; Health care; Cancer; Receipt; Biopsy; Population; Mastectomy; Family medicine; Logistic regression; Internal medicine; Environmental health","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":[0.00008785298,0.000118144,0.0002014146,0.00002025845,0.00009153892,0.00000450331,0.0001755696,0.00007698618,0.00001960639],"category_scores_gemma":[0.00002223334,0.00008021715,0.00004481107,0.00009918914,0.000201797,0.000002505549,0.00005900896,0.00006340856,0.000001995042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008281162,"about_ca_system_score_gemma":0.0003049881,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03183534,"about_ca_topic_score_gemma":0.1104779,"domain_scores_codex":[0.9989457,0.000164617,0.0002519369,0.0002538695,0.0001875681,0.0001963758],"domain_scores_gemma":[0.999336,0.00002609894,0.0001245603,0.0003366118,0.0001181373,0.00005861514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001183535,0.0003454242,0.8805501,0.0004781488,0.0002974854,0.000006040792,0.06896024,0.00000579915,0.002844173,0.0003272799,0.0155961,0.0294056],"study_design_scores_gemma":[0.000941538,0.0001932194,0.9517235,0.00008682946,0.000009295009,0.000002231462,0.02202451,7.474674e-7,0.001552007,0.00005644518,0.02329145,0.0001181926],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748009,0.01557658,0.00001251299,0.006243638,0.0005708322,0.0002793647,0.001139672,0.00001053744,0.001365925],"genre_scores_gemma":[0.9975122,0.0005475322,0.00006750319,0.000781445,0.0008321608,0.00007009148,0.0001749947,0.000009602282,0.000004503928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07864255,"threshold_uncertainty_score":0.9746118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0140174078441219,"score_gpt":0.3261781887425501,"score_spread":0.3121607808984282,"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."}}