{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001423346,0.0001070975,0.0002723524,0.001053293,0.0006818618,0.001114592,0.0003883561,0.0002585859,0.001836883],"category_scores_gemma":[0.007870702,0.0001034949,0.0004460617,0.003119682,0.0003957789,0.0007471154,0.001320172,0.0004033202,0.0001162296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00278764,"about_ca_system_score_gemma":0.001854243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2803834,"about_ca_topic_score_gemma":0.3749198,"domain_scores_codex":[0.9986063,0.0006412493,0.0001128494,0.00007563538,0.0003067007,0.0002573279],"domain_scores_gemma":[0.9952582,0.0009995236,0.002078061,0.0001985493,0.0007615499,0.0007041157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003345906,0.00003179014,0.9952528,0.00001462885,0.00006265216,0.0000216293,0.0004443604,0.00008426879,0.00003182335,0.0001322163,0.0004286846,0.00346176],"study_design_scores_gemma":[0.000001265729,0.0000141854,0.9985045,0.00001546631,0.0000122339,0.00002444461,0.0007741962,0.0001393636,0.00001602189,0.0000319119,0.0004643355,0.000002102212],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937415,0.001003005,0.00007553268,0.001208591,0.00000439637,0.000009477115,0.001312935,0.000002157403,0.002642397],"genre_scores_gemma":[0.9986902,0.0004435023,0.00007866531,0.0001251256,0.000009617915,0.000008485699,0.0005105971,0.000001941336,0.0001317727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2803834,"threshold_uncertainty_score":0.5575027,"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."}}