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Record W3032347264 · doi:10.1038/s41467-020-16613-x

Author Correction: Pharmacological inhibition of PRMT7 links arginine monomethylation to the cellular stress response

2020· erratum· en· W3032347264 on OpenAlexafffund
Magdalena M. Szewczyk, Yoshinori Ishikawa, Shawna Organ, Nozomu Sakai, Fengling Li, Levon Halabelian, Suzanne Ackloo, Amber L. Couzens, Mohammad S. Eram, David Dilworth, Hideto Fukushi, Rachel Harding, Carlo C. dela Seña, Tsukasa Sugo, Kôzô Hayashi, David McLeod, Carlos Zepeda, Ahmed Aman, María Sánchez‐Osuna, Éric Bonneil, Shinji Takagi, Rima Al‐awar, Mike Tyers, Stéphane Richard, Masayuki Takizawa, Anne‐Claude Gingras, C.H. Arrowsmith, Masoud Vedadi, Peter J. Brown, Hiroshi Nara, Dalia Baršytė-Lovejoy

Bibliographic record

VenueNature Communications · 2020
Typeerratum
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related gene regulation
Canadian institutionsPrincess Margaret Cancer CentreMcGill UniversityUniversité de MontréalInstitute for Research in Immunology and CancerLunenfeld-Tanenbaum Research InstituteStructural Genomics ConsortiumOntario Institute for Cancer ResearchUniversity of Toronto
FundersStand Up To CancerGovernment of CanadaOntario Institute for Cancer ResearchGenome CanadaGovernment of OntarioAmerican Association for Cancer Research
KeywordsArginineStress (linguistics)Cell biologyComputer scienceComputational biologyNeuroscienceBiologyGeneticsAmino acid

Abstract

fetched live from OpenAlex

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.836
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.317
Teacher spread0.296 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations4
Published2020
Admission routes2
Has abstractyes

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