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Record W4400292408 · doi:10.1038/s41586-024-07696-3

Author Correction: Microglia regulate central nervous system myelin growth and integrity

2024· erratum· en· W4400292408 on OpenAlexaff
Niamh B. McNamara, David A. D. Munro, Nadine Bestard-Cuche, Akiko Uyeda, Jeroen F. J. Bogie, Alana Hoffmann, R. Holloway, Irene Molina-González, Katharine E. Askew, Stephen Mitchell, William Mungall, Michael Dodds, Carsten Dittmayer, Jonathan Moss, Jamie Rose, Stefan Szymkowiak, Lukas Amann, Barry W. McColl, Marco Prinz, Tara L. Spires‐Jones, Werner Stenzel, Karen Horsburgh, Jerome J. A. Hendriks, Clare Pridans, Rieko Muramatsu, Anna Williams, Josef Priller, Véronique E. Miron

Bibliographic record

VenueNature · 2024
Typeerratum
Languageen
FieldNeuroscience
TopicNeurological Disease Mechanisms and Treatments
Canadian institutionsToronto East General HospitalPublic Health OntarioUniversity of TorontoSt. Michael's Hospital
FundersMedical Research Council
KeywordsMicrogliaCentral nervous systemNeuroscienceMyelinBiologyMedicineImmunologyInflammation

Abstract

fetched live from OpenAlex

In the version of this article originally published, Figs. 1b , 2f , and 2n contained errors. Figure 1b had accidental merging of the same Hoechst image with the Tmem119 stain for both genotypes. Figure 2f had incorrect statistical results which had not been updated following quantification of a larger number of axons. Figure 2n , a magnified inset of Fig. 2l in Fire ∆/∆ , had been rotated 180° from the lower magnification image in 2l and the green asterisks were too small. These figures have now been corrected, and the original and revised versions can be seen below in Figs. 1 and 2 . Fig. 1: Original and revised Fig. 1b . Full size image Fig. 2: Original and revised Fig. 2n . Full size image

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)0.033
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 score0.094
Threshold uncertainty score0.315

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.033
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0030.002
Scholarly communication0.0030.002
Open science0.0030.002
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0940.051

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 head0.016
GPT teacher head0.262
Teacher spread0.246 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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