{"id":"W2999101129","doi":"10.1200/jgo.19.00061","title":"Influence of Preexisting Diabetes on Survival After a Breast Cancer Diagnosis in First Nations Women in Ontario, Canada","year":2020,"lang":"en","type":"article","venue":"JCO Global Oncology","topic":"Metabolism, Diabetes, and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cancer Care Ontario; Public Health Ontario; University of Toronto","funders":"Cancer Care Ontario","keywords":"Medicine; Breast cancer; Comorbidity; Diabetes mellitus; Proportional hazards model; Body mass index; Hazard ratio; Cancer; Population; National Death Index; Cohort; Cancer registry; Demography; Logistic regression; Internal medicine; Gerontology; Gynecology; Environmental health; Confidence interval; Endocrinology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001230894,0.0001417353,0.0003174739,0.00002986301,0.00002633008,0.000005422385,0.0001807368,0.0001378637,0.0001637495],"category_scores_gemma":[0.0002070151,0.0001451751,0.00003516521,0.0002520511,0.00005909437,0.000005779544,0.00009288245,0.0001238603,0.000001359321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001059581,"about_ca_system_score_gemma":0.001764749,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7317621,"about_ca_topic_score_gemma":0.9981695,"domain_scores_codex":[0.9987535,0.00008099589,0.0002951479,0.0003189366,0.0001385214,0.0004128601],"domain_scores_gemma":[0.9994962,0.00005947122,0.0001038654,0.0001350341,0.00007063965,0.0001348538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001660563,0.00009721715,0.9910465,0.00003996874,0.00003322964,0.0000106209,0.0002283602,0.003609722,0.0002017563,0.00003383217,0.0005904754,0.003942275],"study_design_scores_gemma":[0.0007731502,0.0002013366,0.8751274,0.00004463913,0.000008829646,4.742677e-7,0.00006378951,0.00001497264,0.0006894242,0.0000217966,0.1229071,0.0001470979],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938002,0.003971497,2.881393e-7,0.0004668921,0.0001552564,0.000161029,0.0003798608,0.000003387174,0.001061634],"genre_scores_gemma":[0.9961669,0.00110006,0.00001714052,0.001930584,0.0001009324,0.000642783,0.00001832661,0.000008087765,0.00001516202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2664074,"threshold_uncertainty_score":0.5920067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008508162724408828,"score_gpt":0.2438838783653424,"score_spread":0.2353757156409336,"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."}}