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Record W4386483163 · doi:10.1038/s43587-023-00499-7

Author Correction: Universal DNA methylation age across mammalian tissues

2023· erratum· en· W4386483163 on OpenAlexaff
Ake T. Lu, Zhe Fei, Amin Haghani, Todd R. Robeck, Joseph A. Zoller, Caesar Z. Li, Robert Lowe, Qi Yan, Joshua Zhang, Hoang‐Giang Vu, Julia Ablaeva, Victoria A. Acosta-Rodríguez, Danielle M. Adams, Javier Almunia, Ajoy Aloysius, Reza Ardehali, A Arneson, C. Scott Baker, Gareth Banks, Katherine Belov, Nigel C. Bennett, Peter C. Black, Daniel T. Blumstein, Eleanor K. Bors, Charles E. Breeze, Robert T. Brooke, Janine L. Brown, Gerald G. Carter, Alex Caulton, Julie M. Cavin, Lisa Chakrabarti, Ioulia Chatzistamou, Hao Chen, Kai Cheng, Priscila Chiavellini, Oi‐Wa Choi, Shannon Clarke, Lisa Noelle Cooper, Marie‐Laurence Cossette, Joanna Day, Joseph DeYoung, Stacy DiRocco, Christopher Dold, Erin E. Ehmke, Candice K. Emmons, Stephan Emmrich, Ebru Erbay, Claire Erlacher‐Reid, Chris G. Faulkes, Steven H. Ferguson, Carrie J. Finno, Jennifer E. Flower, Jean‐Michel Gaillard, Eva Garde, Livia Gerber, Vadim N. Gladyshev, Vera Gorbunova, Rodolfo G. Goya, Myles J.A. Grant, C. B. Green, Erin N. Hales, M. Bradley Hanson, Daniel W. Hart, Martin Haulena, K. Herrick, Andrew N. Hogan, Carolyn J. Hogg, Timothy A. Hore, Taosheng Huang, Juan Carlos Izpisúa Belmonte, Anna J. Jasinska, Gareth Jones, Eve Jourdain, Olga Kashpur, Harold L. Katcher, Etsuko Katsumata, Vimala Kaza, Hippokratis Kiaris, Michael S. Kobor, Paweł Kordowitzki, William R. Koski, Michael Krützen, Soon‐Bae Kwon, Brenda Larison, Sang‐Goo Lee, Marina Lehmann, Jean‐François Lemaître, Arnold J. Levine, Chunquan Li, X. Li, A. R. Lim, David Lin, D. Lindemann, Tom J. Little, Nicholas Macoretta, Debra Maddox, Craig O. Matkin, Julie A. Mattison, Mélanie McClure, June Mergl, Jennifer J. Meudt, Gisele Montano, Khyobeni Mozhui, Jason Munshi‐South, Asieh Naderi, Martina Nagy, Pritika Narayan, Peter W. Nathanielsz, Ngọc Bích Nguỹên, Christof Niehrs, Justine K. O’Brien, Perrie O’Tierney-Ginn, Duncan T. Odom, Alexander G. Ophir, S. B. Osborn, Elaine A. Ostrander, Kim M. Parsons, Kaninika Paul, Matteo Pellegrini, Katharina J. Peters, Amy B. Pedersen, Jessica L. Petersen, Darren W. Pietersen, Gabriela Medeiros de Pinho, Jocelyn Plassais, Jesse R. Poganik, Natalia A. Prado, Pradeep Reddy, Benjamin Rey, Beate Ritz, Jooke Robbins, Magdalena Rodríguez, Jennifer Russell, Elena Rydkina, Lindsay L. Sailer, Adam B. Salmon, Akshay Sanghavi, Kyle M. Schachtschneider, Dennis Schmitt, Todd L. Schmitt, Lars Schomacher, Lawrence B. Schook, Karen E. Sears, A. W. Seifert, Andrei Seluanov, Aaron B. A. Shafer, Dhanansayan Shanmuganayagam, Anastasia V. Shindyapina, M. Simmons, Kavita Singh, Indranil Sinha, Jesse Slone, Russell G. Snell, E. Soltanmaohammadi, Matthew L Spangler, M. C. Spriggs, Lydia Staggs, Nicole Stedman, Karen J. Steinman, Donald T. Stewart, Victoria J Sugrue, Balázs Szladovits, Joseph S. Takahashi, M. Takasugi, Emma C. Teeling, Michael J. Thompson, B. Van Bonn, Sonja C. Vernes, Diego Villar, Harry V. Vinters, Mary C. Wallingford, Nan Wang, Robert K. Wayne, Gerald S. Wilkinson, Christopher K. Williams, Robert W. Williams, X. William Yang, M. Yao, Brent G. Young, Bohan Zhang, Zhihui Zhang, Yang Zhao, Wanding Zhou, Jörg Zimmermann, Jason Ernst, Ken Raj, Steve Horvath

Bibliographic record

VenueNature Aging · 2023
Typeerratum
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsBC Children's HospitalLGL (Canada)University of British ColumbiaAcadia UniversityVancouver AquariumUniversity of ManitobaFisheries and Oceans CanadaTrent University
FundersNational Institute on Aging
KeywordsDNA methylationMethylationBiologyComputational biologyDNAEvolutionary biologyGeneticsGeneGene expression

Abstract

fetched live from OpenAlex

In the version of Supplementary Data initially published with this article, data were missing from Table S1.13 (Updated AnAge version in Class Mammalia), which now appear in an updated Supplementary Data file in the online version of the article.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.053
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.119
Threshold uncertainty score0.398

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.053
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0030.002
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.1190.051

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.319
Teacher spread0.305 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2023
Admission routes1
Has abstractyes

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