{"id":"W3014518127","doi":"10.1186/s13148-020-00840-6","title":"DNA methylation age calculators reveal association with diabetic neuropathy in type 1 diabetes","year":2020,"lang":"en","type":"article","venue":"Clinical Epigenetics","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; Lunenfeld-Tanenbaum Research Institute; Hospital for Sick Children; Public Health Ontario; SickKids Foundation; University of Toronto; McMaster University","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Medicine; dNaM; Diabetes mellitus; Internal medicine; Diabetic retinopathy; Population; Diabetic nephropathy; Retinopathy; Type 2 diabetes; Type 1 diabetes; Epidemiology; Nephropathy; Endocrinology; DNA methylation; Biology; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007998781,0.0002115997,0.0003445463,0.00004177264,0.00005117437,0.00003797671,0.0001900712,0.0003659726,0.00001028432],"category_scores_gemma":[0.002003377,0.0002004444,0.0001126077,0.000349981,0.00007565607,0.000005254139,0.00009903369,0.0002788693,0.00002854317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003045636,"about_ca_system_score_gemma":0.00009645234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000417809,"about_ca_topic_score_gemma":0.00001925561,"domain_scores_codex":[0.9976745,0.0004254114,0.0006980099,0.0005658102,0.0002794088,0.0003568992],"domain_scores_gemma":[0.9988228,0.0001766001,0.0002814688,0.0003180433,0.0001675927,0.0002335088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008197685,0.0001023226,0.8849799,0.00002374566,0.00004970011,0.000008177133,0.00006120705,0.001867439,0.1065146,0.0000153533,0.0001766783,0.006118863],"study_design_scores_gemma":[0.001389752,0.002525552,0.8285928,0.00002622772,0.00009003614,1.675307e-7,0.00002037716,0.002216467,0.1500158,0.0003219894,0.01429978,0.0005009806],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962693,0.001341345,0.0009536537,0.0005819588,0.0003040776,0.0002687163,0.0000100958,0.00002129026,0.0002495214],"genre_scores_gemma":[0.9961551,0.0009014005,0.001254229,0.0009001935,0.0005121853,0.00001001116,0.0001274714,0.00004871309,0.00009066271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05638703,"threshold_uncertainty_score":0.8173887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03326631883177393,"score_gpt":0.3055921445345133,"score_spread":0.2723258257027393,"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."}}