{"id":"W3122528890","doi":"10.1101/2021.01.18.426733","title":"Universal DNA methylation age across mammalian tissues","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":150,"is_retracted":false,"has_abstract":true,"ca_institutions":"LGL (Canada); Vancouver Aquarium; BC Children's Hospital; Fisheries and Oceans Canada","funders":"NHLBI Division of Intramural Research; Center for Information Technology; National Heart, Lung, and Blood Institute; Open Philanthropy Project; Jonsson Comprehensive Cancer Center; National Institute on Aging; National Institutes of Health; U.S. Department of Health and Human Services; Cancer Research UK; Paul G. Allen Frontiers Group; Department of Science and Technology, Ministry of Science and Technology, India; National Geographic Society","keywords":"Epigenetics; Biology; DNA methylation; Methylation; Chromatin; Genomic imprinting; Genetics; Evolutionary biology; Gene; Gene expression","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005330741,0.0004814176,0.0004064968,0.00009021607,0.000179087,0.0003013639,0.0004275692,0.0009015381,0.0000363621],"category_scores_gemma":[0.0001899121,0.0005776616,0.000213588,0.0002372327,0.0001164717,0.0000127326,0.0007229777,0.0003982976,0.00001903105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000100982,"about_ca_system_score_gemma":0.0003403981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006857907,"about_ca_topic_score_gemma":0.00003256708,"domain_scores_codex":[0.9974329,0.0002158,0.0004312566,0.001094405,0.0003134466,0.0005121724],"domain_scores_gemma":[0.9976849,0.0000176004,0.0003324967,0.001266179,0.0004746753,0.0002241226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002256764,0.00006531004,0.00252141,0.0001183243,0.0001216174,0.00006502816,0.00002554213,0.0002025763,0.9967142,0.00005892074,0.00006991567,0.00001459259],"study_design_scores_gemma":[0.0003564709,0.00007391526,0.03865251,0.00007809185,0.00006566261,6.5333e-9,0.00001773449,0.00004759274,0.9360762,0.000002468768,0.02399381,0.0006355054],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869413,0.005010651,0.006243633,0.00009400193,0.001002815,0.0004152613,0.0001745241,0.00008305456,0.00003479339],"genre_scores_gemma":[0.9924393,0.001084493,0.005364778,0.00007497209,0.0007877863,0.00004970438,0.00001791824,0.0001222699,0.00005875996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06063795,"threshold_uncertainty_score":0.9996675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01447566630768377,"score_gpt":0.2530437108179064,"score_spread":0.2385680445102226,"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."}}