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Record W4310438905 · doi:10.1038/s41586-022-05487-2

RETRACTED ARTICLE: Human fetal cerebellar cell atlas informs medulloblastoma origin and oncogenesis

2022· article· en· W4310438905 on OpenAlexaff
Zaili Luo, Mingyang Xia, Chuntao Zhao, Jiajia Wang, Dazhuan Xin, Xinran Dong, Yu Xiong, Feng Zhang, Kalen Berry, Sean Ogurek, Xuezhao Liu, Rohit Rao, Rui Xing, Lai Man Natalie Wu, Siying Cui, Lingli Xu, Yifeng Lin, Wenkun Ma, Shuaiwei Tian, Qi Xie, Li Zhang, Mei Xin, Xiaotao Wang, Feng Yue, Haizi Zheng, Yaping Liu, Charles B. Stevenson, Peter de Blank, John P. Perentesis, Richard J. Gilbertson, Hao Li, Jie Ma, Wenhao Zhou, Michael D. Taylor, Q. Richard Lu

Post-publication record

NatureRetraction
ReasonConcerns/Issues about Data;Investigation by Journal/Publisher;Investigation by Third Party;Objections by Author(s);Unreliable Results and/or Conclusions;
Date7/9/2025 0:00
Flagged by OpenAlex?Yes

Source: Retraction Watch, joined by DOI. OpenAlex records retraction as is_retracted, a boolean over a state space with at least four values, so it cannot express an expression of concern, a correction or a reinstatement; it reports them as false, which reads as “fine”.

Bibliographic record

VenueNature · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSingle-cell and spatial transcriptomics
Canadian institutionsHospital for Sick Children
FundersNational Cancer InstituteCancer Research UK
KeywordsMedulloblastomaBiologyProgenitor cellCarcinogenesisNeural stem cellCancer researchProgenitorStem cellGeneticsGene

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.021
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: Empirical · Consensus signal: none
Teacher disagreement score0.995
Threshold uncertainty score0.099

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0020.002
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0300.013

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 head0.006
GPT teacher head0.227
Teacher spread0.221 · 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
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

Citations57
Published2022
Admission routes1
Has abstractno

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