{"id":"W2952009394","doi":"10.1093/aje/kwx346","title":"Eleven Telomere, Epigenetic Clock, and Biomarker-Composite Quantifications of Biological Aging: Do They Measure the Same Thing?","year":2017,"lang":"en","type":"article","venue":"American Journal of Epidemiology","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":424,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"National Institute on Aging; Faculty of Medicine and Health, University of Sydney; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Economic and Social Research Council; Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; National Institutes of Health; School of Medicine, Duke University; Jacobs Foundation; Yale University; King's College London; University of Otago; Department of Psychology and Neuroscience, Duke University; Université de Sherbrooke; Medical Research Council; Social Science Research Institute, Duke University","keywords":"Biomarker; Biological age; Epigenetics; Telomere; Medicine; Longevity; Healthy aging; Disease; Bioinformatics; Gerontology; Biology; Genetics; Internal medicine","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":[0.02757169,0.0010158,0.001139332,0.002190721,0.0005076155,0.002286979,0.00142008,0.0009056278,0.001090529],"category_scores_gemma":[0.04184887,0.0005063559,0.001127977,0.002696117,0.002028191,0.001858365,0.001649004,0.001498253,0.0002433588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001025802,"about_ca_system_score_gemma":0.001806629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004936667,"about_ca_topic_score_gemma":0.01010191,"domain_scores_codex":[0.990919,0.004857746,0.0006974076,0.001309465,0.0020169,0.0001994244],"domain_scores_gemma":[0.9715176,0.01218035,0.007151561,0.00411461,0.004342082,0.0006937982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001004644,0.0001420367,0.882176,0.0006918159,0.001592017,0.00002879471,0.0006321529,0.0011282,0.005288393,0.002958651,0.0003721351,0.1039851],"study_design_scores_gemma":[0.00006016566,0.001257811,0.9786887,0.0002554339,0.000822508,0.0001604523,0.0005897566,0.004884013,0.004654393,0.005584829,0.002929902,0.0001120406],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8827468,0.02395762,0.08235843,0.002909259,0.0006545169,0.0004021054,0.00156327,0.0002133174,0.005194669],"genre_scores_gemma":[0.9459608,0.002317986,0.0495866,0.0004201085,0.00009554551,0.0002065254,0.0004749347,0.00003026957,0.0009071635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02757169,"threshold_uncertainty_score":0.1458148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05725911460112962,"score_gpt":0.3283688809315907,"score_spread":0.271109766330461,"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."}}