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Record W4408299269 · doi:10.1038/s41422-025-01091-x

Publisher Correction: Comprehensive discovery and functional characterization of the noncanonical proteome

2025· erratum· en· W4408299269 on OpenAlexaff
Chengyu Shi, Fangzhou Liu, Xinwan Su, Zuozhen Yang, Ying Wang, Shanshan Xie, Shaofang Xie, Qiang Sun, Yu Chen, Lingjie Sang, Manman Tan, Linyu Zhu, Junhong Li, Jiecheng Yang, Zerui Gao, Yu Meng, Xinyi Wang, Junfeng Wang, Jing Chen, Wei Zhuo, Zhaoyuan Fang, Jian Liu, Qingfeng Yan, Dante Neculai, Qiming Sun, Jian‐Zhong Shao, Weiqiang Lin, Wei Liu, Jian Chen, Liangjing Wang, Yang Liu, Xu Li, Tianhua Zhou, Aifu Lin

Bibliographic record

VenueCell Research · 2025
Typeerratum
Languageen
FieldChemistry
TopicAdvanced Proteomics Techniques and Applications
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBiologyComputational biologyProteomeHuman proteome projectBioinformaticsProteomicsGeneticsGene

Abstract

fetched live from OpenAlex

The wrong Supplementary files (Table S12 and Table S13 ) were originally published with this article due to publisher’s mistake in correction stage; They have now been replaced with the correct files.

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)0.005
metaresearch head score (Gemma)0.048
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 score0.135
Threshold uncertainty score0.452

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.048
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0050.005
Science and technology studies0.0050.002
Scholarly communication0.0060.004
Open science0.0040.003
Research integrity0.0050.011
Insufficient payload (model declined to judge)0.1350.093

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 head0.038
GPT teacher head0.320
Teacher spread0.282 · 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
Published2025
Admission routes1
Has abstractyes

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