{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003098229,0.0001611098,0.0002022461,0.0004179524,0.001188565,0.0005560462,0.0004408298,0.0002262332,0.001908647],"category_scores_gemma":[0.002121059,0.0001312341,0.000324785,0.001000518,0.0003645666,0.0001755967,0.0004340244,0.0003496164,0.00009932979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008424887,"about_ca_system_score_gemma":0.01086788,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9591794,"about_ca_topic_score_gemma":0.9813036,"domain_scores_codex":[0.9996809,0.00003115356,0.00001573766,0.00003982125,0.00007790987,0.0001545242],"domain_scores_gemma":[0.9986122,0.0001323067,0.000432755,0.00005481788,0.0003142151,0.0004538489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004123671,0.000005876598,0.9980376,0.00000969352,0.00001255601,0.00004267403,0.00008952939,0.0000330713,0.00003301181,0.00001721551,0.0002780121,0.001399348],"study_design_scores_gemma":[0.00000326257,0.00001126443,0.999213,0.00001919581,0.00001286447,0.00006532114,0.0002417778,0.00009742609,0.00001461069,0.00001086682,0.0003079809,0.000002301111],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951832,0.001124802,0.00004550396,0.000561492,0.00001535948,0.00001288683,0.001282451,0.000005446294,0.001768834],"genre_scores_gemma":[0.998648,0.000473744,0.00003482448,0.00004619623,0.000004515578,0.000003790705,0.0004553749,0.000001277011,0.0003322549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0408206,"threshold_uncertainty_score":0.08212197,"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."}}