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Record W4281850915 · doi:10.1038/s42003-022-03515-5

Author Correction: Histone macroH2A1 is a stronger regulator of hippocampal transcription and memory than macroH2A2 in mice

2022· erratum· en· W4281850915 on OpenAlexaff
Gurdeep Singh, Gilda Stefanelli, Klotilda Narkaj, Mark A. Brimble, Samantha D. Creighton, Timothy A. B. McLean, Meaghan Hall, Krista A. Mitchnick, Jacqueline Zakaria, Thanh Phung, Anas Reda, Amanda M. Leonetti, Ashley Monks, Lara Ianov, Boyer D. Winters, Brandon J. Walters, Andrew M. Davidoff, Jennifer A. Mitchell, Iva B. Zovkic

Bibliographic record

VenueCommunications Biology · 2022
Typeerratum
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsToronto ZooUniversity of GuelphYork UniversityUniversity of Toronto
Fundersnot available
KeywordsRegulatorHippocampal formationHistoneTranscription (linguistics)PsychologyNeuroscienceBiologyGeneticsGenePhilosophy

Abstract

fetched live from OpenAlex

In this article the affiliation details for Andrew M. Davidoff were incorrectly given as ‘Department of Psychology, University of Toronto Mississauga, Mississauga, ON L5L 1C6 Canada’ but should have been ‘Department of Surgery, St. Jude Children’s Research Hospital, Memphis TN 38105, USA’. The original article has been corrected.

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)0.002
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
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 score0.995
Threshold uncertainty score0.114

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.023
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0030.001
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0340.019

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 head0.025
GPT teacher head0.318
Teacher spread0.293 · 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.

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

Citations2
Published2022
Admission routes1
Has abstractno

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