{"id":"W4386483163","doi":"10.1038/s43587-023-00499-7","title":"Author Correction: Universal DNA methylation age across mammalian tissues","year":2023,"lang":"en","type":"erratum","venue":"Nature Aging","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; LGL (Canada); University of British Columbia; Acadia University; Vancouver Aquarium; University of Manitoba; Fisheries and Oceans Canada; Trent University","funders":"National Institute on Aging","keywords":"DNA methylation; Methylation; Biology; Computational biology; DNA; Evolutionary biology; Genetics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004159118,0.00206849,0.001470595,0.003166164,0.002409612,0.002498387,0.00287869,0.003129586,0.1188695],"category_scores_gemma":[0.05335067,0.001036791,0.001394586,0.002782459,0.001405686,0.001943176,0.002387158,0.006934007,0.05065825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001915007,"about_ca_system_score_gemma":0.003531303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008858477,"about_ca_topic_score_gemma":0.01368367,"domain_scores_codex":[0.9956167,0.0006605286,0.0007110118,0.0009382093,0.001787447,0.00028617],"domain_scores_gemma":[0.9760592,0.006336071,0.001133121,0.002750516,0.01286097,0.0008601177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006011472,0.00000497681,0.0001893712,0.0002133861,0.00002916065,0.0002442567,0.00005298745,0.00005284201,0.0002049257,0.001038559,0.9865225,0.01138683],"study_design_scores_gemma":[0.00004674889,0.00001657397,0.001145983,0.0003252951,0.00008116293,0.001028101,0.00008254703,0.000288741,0.001136136,0.003015031,0.9927918,0.00004191806],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0005177464,0.001282457,0.004629251,0.02844036,0.9528629,0.00003528125,0.006019026,0.001362408,0.004850562],"genre_scores_gemma":[0.05476043,0.01133791,0.03523558,0.07078963,0.2264021,0.0004966537,0.02436616,0.01086155,0.5657499],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1188695,"threshold_uncertainty_score":0.3976581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01406244448784241,"score_gpt":0.3190550477315863,"score_spread":0.3049926032437439,"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."}}