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Record W4294990796 · doi:10.1038/s42003-022-03822-x

Author Correction: GFI1 tethers the NuRD complex to open and transcriptionally active chromatin in myeloid progenitors

2022· erratum· en· W4294990796 on OpenAlexaff
Anne Helness, Jennifer Fraszczak, Charles Joly-Beauparlant, Halil Bagci, Christian Trahan, Kaifee Arman, Peiman Shooshtarizadeh, Riyan Chen, Marina Ayoub, Jean‐François Côté, Marlene Oeffinger, Arnaud Droit, Tarik Möröy

Bibliographic record

VenueCommunications Biology · 2022
Typeerratum
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBlood disorders and treatments
Canadian institutionsMcGill UniversityCentre Hospitalier Universitaire Sainte-JustineUniversité LavalUniversité de MontréalMontreal Clinical Research Institute
Fundersnot available
KeywordsChromatinBiologyCell biologyProgenitor cellGeneticsPhysicsDNAStem cell

Abstract

fetched live from OpenAlex

The original version of this Article mistakenly referred to “anti-H3K9me2 (ab1220; AbCam)” when describing the Chromatin immunoprecipitation (ChIP) protocol in the Methods. The correct version of this text has now been corrected to reference “anti-H3K9me3 (ab8898; AbCam)”.

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)0.003
metaresearch head score (Gemma)0.027
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 score0.059
Threshold uncertainty score0.197

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.027
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.002
Scholarly communication0.0030.002
Open science0.0030.002
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0590.034

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 head0.050
GPT teacher head0.350
Teacher spread0.300 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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