{"id":"W1933889113","doi":"10.1111/dme.12004","title":"Area‐under‐the‐HbA<sub>1c</sub>‐curve above the normal range and the prediction of microvascular outcomes: an analysis of data from the Diabetes Control and Complications Trial","year":2012,"lang":"en","type":"article","venue":"Diabetic Medicine","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Mount Sinai Hospital","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Medical Research Council; Ontario Ministry of Research and Innovation; National Health and Medical Research Council; Medical Research Council; Canadian Institutes of Health Research; University of Toronto; Canadian Diabetes Association","keywords":"Medicine; Akaike information criterion; Diabetes mellitus; Nephropathy; Internal medicine; Area under the curve; Retinopathy; Receiver operating characteristic; Endocrinology; Statistics; Mathematics","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":[0.02490526,0.0008192105,0.002096866,0.0008301064,0.0004247856,0.001726613,0.001333809,0.001267398,0.001427234],"category_scores_gemma":[0.03269073,0.0004693325,0.003776031,0.001435106,0.0006995021,0.001096035,0.001211625,0.002553571,0.000219422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005489301,"about_ca_system_score_gemma":0.000847458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003390612,"about_ca_topic_score_gemma":0.003464307,"domain_scores_codex":[0.9865336,0.01046336,0.0006332957,0.001126157,0.0009041323,0.0003394627],"domain_scores_gemma":[0.95515,0.03231685,0.006786779,0.002740379,0.001024439,0.001981537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.05685294,0.0005447708,0.9098649,0.0004523155,0.01975267,0.0001274449,0.0001161101,0.002211625,0.0001218714,0.0002001037,0.001681932,0.008073364],"study_design_scores_gemma":[0.007293067,0.00519181,0.9448735,0.000214361,0.01477772,0.0003506511,0.000189166,0.02484167,0.0002089493,0.0008095367,0.001175732,0.00007402743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888729,0.007893754,0.0005488733,0.0004355107,0.00006983668,0.00009805804,0.001570403,0.00001792783,0.0004927561],"genre_scores_gemma":[0.9957847,0.0008923793,0.0005179344,0.0001598347,0.00009174611,0.0001004236,0.002271971,0.00001361414,0.0001673542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02490526,"threshold_uncertainty_score":0.1317132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03631110794837854,"score_gpt":0.2832861234847374,"score_spread":0.2469750155363589,"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."}}