{"id":"W4407578997","doi":"10.2337/dc24-2385","title":"Longitudinal Determination of Diabetes Complications and Other Clinical Variables as Risk Factors for Diabetic Ketoacidosis in Type 1 Diabetes","year":2025,"lang":"en","type":"article","venue":"Diabetes Care","topic":"Diabetes and associated disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"LMC Diabetes & Endocrinology (Canada); Public Health Ontario; University of British Columbia; Sinai Health System; University of Toronto; University Health Network; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"Diabetes Canada","keywords":"Medicine; Diabetes mellitus; Diabetic ketoacidosis; Hazard ratio; Internal medicine; Ketoacidosis; Proportional hazards model; Type 1 diabetes; Nephropathy; Kidney disease; Endocrinology; Surgery; Confidence interval","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002707189,0.0002924822,0.0003336011,0.0006094931,0.0003841723,0.0006255434,0.0004505582,0.0005082599,0.0007693124],"category_scores_gemma":[0.006620252,0.0003021023,0.0005824816,0.0009470784,0.0001447054,0.0005065947,0.0004964834,0.001202088,0.0001790245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003021294,"about_ca_system_score_gemma":0.0006642757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005732961,"about_ca_topic_score_gemma":0.00459674,"domain_scores_codex":[0.9992311,0.0003452451,0.00006017309,0.000129314,0.0001427287,0.0000915305],"domain_scores_gemma":[0.9958293,0.0007949579,0.002040295,0.0003359693,0.000540609,0.00045891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001608676,0.00006623787,0.9985783,0.00000790435,0.00006394015,0.00001469179,0.00002014637,0.00004969995,0.00006641948,0.000008776286,0.00005306535,0.0009099986],"study_design_scores_gemma":[0.00001399104,0.0001900448,0.9988067,0.000009326957,0.00006673879,0.0001049604,0.0000381523,0.0005409975,0.00005589454,0.00003940136,0.0001294563,0.000004491199],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966691,0.00104468,0.0005240896,0.0001221475,0.00002077996,0.00002136725,0.001211842,0.00001260744,0.0003732773],"genre_scores_gemma":[0.9977086,0.0004008089,0.000481591,0.00005425145,0.00002105844,0.00003085329,0.00108506,0.000002471224,0.0002153797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005732961,"threshold_uncertainty_score":0.01431715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01366830208178637,"score_gpt":0.2910174149747065,"score_spread":0.2773491128929201,"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."}}