{"id":"W2508689200","doi":"10.1002/jcp.25579","title":"Risk Differences Between Prediabetes And Diabetes According To Breast Cancer Molecular Subtypes","year":2016,"lang":"en","type":"article","venue":"Journal of Cellular Physiology","topic":"Metabolism, Diabetes, and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"Prediabetes; Medicine; Diabetes mellitus; Breast cancer; Internal medicine; Incidence (geometry); Hyperinsulinemia; Logistic regression; Type 2 diabetes; Cancer; Endocrinology; Oncology; Insulin resistance","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":[0.0005199775,0.0002722257,0.0002440596,0.000763469,0.0002036071,0.0005906012,0.0002112767,0.0003905097,0.001696706],"category_scores_gemma":[0.001630012,0.0003802833,0.0005106168,0.0007416572,0.0002426332,0.0001507726,0.0003209518,0.0005391725,0.0001927598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001698411,"about_ca_system_score_gemma":0.0001883451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004626041,"about_ca_topic_score_gemma":0.004660002,"domain_scores_codex":[0.9996656,0.0001033856,0.00002183165,0.00008488938,0.00003868717,0.00008552572],"domain_scores_gemma":[0.9990218,0.0002238461,0.0004213176,0.0001169706,0.00004824902,0.0001678688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002996298,0.00001449174,0.9979823,0.000004623075,0.00004166847,0.00005340529,0.00002651258,0.00005056755,0.0001379954,0.00002214501,0.00004649043,0.001320055],"study_design_scores_gemma":[0.00001016534,0.00005135977,0.999332,0.000003717652,0.00003171567,0.0001714204,0.00003560591,0.0001955194,0.00002235775,0.00004439014,0.00009985211,0.000001882091],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983225,0.0007188102,0.00007307045,0.00004998621,0.000006706764,0.00000473555,0.0001356868,0.000005098754,0.0006833554],"genre_scores_gemma":[0.9992474,0.0002160992,0.00005322299,0.00001891251,0.00001443569,0.000004558101,0.0001653491,0.00000223091,0.0002777816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004626041,"threshold_uncertainty_score":0.009198189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005801856765292717,"score_gpt":0.2221981580906978,"score_spread":0.2163963013254051,"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."}}