MétaCan
Menu
Back to cohort
Record W4206707280 · doi:10.1038/s41380-021-01234-7

Correction: Disruption of NEUROD2 causes a neurodevelopmental syndrome with autistic features via cell-autonomous defects in forebrain glutamatergic neurons

2021· erratum· en· W4206707280 on OpenAlexaff
Karen Runge, Rémi Mathieu, Stéphane Bugeon, Sahra Lafi, Corinne Beurrier, Surajit Sahu, Fabienne Schaller, Arthur Loubat, Léonard Hérault, Stéphane Gaillard, Emilie Pallesi‐Pocachard, Aurélie Montheil, Andreas Bosio, Jill A. Rosenfeld, Eva Hudson, Kristin Lindstrom, Saadet Mercimek‐Andrews, Lauren Jeffries, Arie van Haeringen, Olivier Vanakker, Audrey Van Hecke, Dina Amrom, Sébastien Küry, Chana Ratner, Reena Jethva, Candace Gamble, Bernard Jacq, Laurent Fasano, Gabriel Santpere, Belén Lorente-Galdós, Nenad Šestan, A. Gélot, Sylvie Giacuzz, Sandra Goebbels, Alfonso Represa, Carlos Cardoso, Harold Cremer, Antoine de Chevigny

Bibliographic record

VenueMolecular Psychiatry · 2021
Typeerratum
Languageen
FieldMedicine
TopicTissue Engineering and Regenerative Medicine
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsForebrainGlutamatergicNeuroscienceAutismPsychologyMedicinePsychiatryCentral nervous systemGlutamate receptorInternal medicine

Abstract

fetched live from OpenAlex

The article “Disruption of NEUROD2 causes a neurodevelopmental syndrome with autistic features via cell-autonomous defects in forebrain glutamatergic neurons”, written by Karen Runge, Rémi Mathieu, Stéphane Bugeon, Sahra Lafi, Corinne Beurrier, Surajit Sahu, Fabienne Schaller, Arthur Loubat, Leonard Herault, Stéphane Gaillard, Emilie Pallesi-Pocachard, Aurélie Montheil, Andreas Bosio, Jill A. Rosenfeld, Eva Hudson, Kristin Lindstrom, Saadet Mercimek-Andrews, Lauren Jeffries, Arie van Haeringen, Olivier Vanakker, Audrey Van Hecke, Dina Amrom, Sebastien Küry, Chana Ratner, Reena Jethva, Candace Gamble, Bernard Jacq, Laurent Fasano, Gabriel Santpere, Belen Lorente-Galdos, Nenad Sestan, Antoinette Gelot, Sylvie Giacuzz, Sandra Goebbels, Alfonso Represa, Carlos Cardoso, Harold Cremer & Antoine de Chevigny, was originally published electronically on the publisher’s internet portal on 29 June 2021 without open access. With the author(s)’ decision to opt for Open Choice the copyright of the article changed on 6 July 2021 to © The Author(s) 2021 and the article is forthwith distributed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0 .

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)0.019
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 score0.072
Threshold uncertainty score0.240

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.019
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0030.002
Open science0.0030.002
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0720.033

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 head0.004
GPT teacher head0.219
Teacher spread0.215 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueMolecular PsychiatrySame topicTissue Engineering and Regenerative MedicineFrench-language works237,207