{"id":"W4311575737","doi":"10.2337/dc22-1744","title":"Relationships Between the Cumulative Incidences of Long-term Complications in Type 1 Diabetes: The DCCT/EDIC Study","year":2022,"lang":"en","type":"article","venue":"Diabetes Care","topic":"Retinal Diseases and Treatments","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Medicine; Cumulative incidence; Diabetes mellitus; Hazard ratio; Internal medicine; Type 1 diabetes; Amputation; Incidence (geometry); Retinopathy; Diabetic retinopathy; Glycemic; Surgery; Confidence interval; Endocrinology; Cohort","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":[0.002719235,0.0004313525,0.0006249475,0.00116402,0.0005090548,0.001248405,0.0007172211,0.0007162993,0.001496442],"category_scores_gemma":[0.00606114,0.000369045,0.000903211,0.002218431,0.0002101641,0.0005529857,0.0009157559,0.001737072,0.0002097754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006456382,"about_ca_system_score_gemma":0.0004834846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01409419,"about_ca_topic_score_gemma":0.01665703,"domain_scores_codex":[0.9984664,0.0004211199,0.0002341644,0.0003998981,0.000283077,0.0001955096],"domain_scores_gemma":[0.9937172,0.001075798,0.002736029,0.0007159486,0.001017713,0.0007372395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000455959,0.00003899711,0.9972995,0.00003008564,0.0004937863,0.00002554775,0.00001797946,0.0000778622,0.0000241319,0.00003301553,0.0004311529,0.001071978],"study_design_scores_gemma":[0.00003771832,0.00006925258,0.998702,0.00002694715,0.0002271153,0.0001124416,0.00005658093,0.0001477411,0.00002221376,0.00003653414,0.0005526054,0.00000882005],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9668316,0.01164731,0.0004832475,0.0002830551,0.000100465,0.00005523316,0.01737278,0.00002211339,0.003204057],"genre_scores_gemma":[0.9882372,0.001624125,0.0002541293,0.0001411461,0.00009301263,0.00005399153,0.009019759,0.00001010139,0.0005665523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01409419,"threshold_uncertainty_score":0.02802426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06247716525261623,"score_gpt":0.3376484263154266,"score_spread":0.2751712610628104,"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."}}