{"id":"W2802145806","doi":"10.1093/jncics/pky008","title":"Preventable Diabetic Complications After a Cancer Diagnosis in Patients With Diabetes: A Population-Based Cohort Study","year":2018,"lang":"en","type":"article","venue":"JNCI Cancer Spectrum","topic":"Metabolism, Diabetes, and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Institute for Clinical Evaluative Sciences; Women's College Hospital; University of Toronto","funders":"Canadian Institutes of Health Research; University of Toronto; Ontario Ministry of Health and Long-Term Care; Ontario Institute for Cancer Research; Heart and Stroke Foundation of Canada; Institute for Clinical Evaluative Sciences; Women's College Hospital; Cancer Care Ontario","keywords":"Medicine; Diabetes mellitus; Cancer; Prostate cancer; Colorectal cancer; Cancer registry; Breast cancer; Internal medicine; Cohort; Population; Retrospective cohort study; Cohort study; 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":[0.0001263065,0.0002624684,0.0003174442,0.00009645484,0.000105653,0.00004108198,0.0002236875,0.00008929353,0.0008408943],"category_scores_gemma":[0.00001645097,0.0002332539,0.0000638807,0.0003393658,0.00008106683,0.00001399562,0.00005751357,0.0001041289,0.00001229239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001897842,"about_ca_system_score_gemma":0.0001893805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00193885,"about_ca_topic_score_gemma":0.0163658,"domain_scores_codex":[0.9981712,0.00008368555,0.0003029064,0.0006434927,0.0002954334,0.0005032448],"domain_scores_gemma":[0.999008,0.00001323782,0.000140708,0.0005951917,0.0001264842,0.0001163799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001136553,0.0005570046,0.9948878,0.00002308776,0.0001123912,2.759231e-7,0.00005475323,0.00008857579,0.00002188083,0.000002549469,0.0008468612,0.003291224],"study_design_scores_gemma":[0.00202676,0.0004604823,0.9848306,0.0000787167,0.0001054171,1.683738e-8,0.00001178689,0.00005638419,0.003060434,0.00002842299,0.009008232,0.0003327257],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860924,0.01176316,0.00002218902,0.00009549117,0.0003134296,0.001353721,0.000237687,0.00002029815,0.0001015757],"genre_scores_gemma":[0.9844616,0.000606047,0.00005554959,0.0009902418,0.0004156533,0.01320141,0.0001355567,0.00005171953,0.00008221534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01442695,"threshold_uncertainty_score":0.9511818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005205510834521509,"score_gpt":0.2484757968460218,"score_spread":0.2432702860115003,"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."}}