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Record W4412957840 · doi:10.1038/s41467-025-62773-z

Author Correction: Topology meets time-reversal symmetry breaking in FeSe1−xTex superconductors

2025· erratum· en· W4412957840 on OpenAlexaff
M. Roppongi, Yipeng Cai, Koki Ogawa, Supeng Liu, Guoqiang Zhao, Mohamed Oudah, T. Fujii, K. Imamura, K. Ishihara, K. Hashimoto, Kohei Matsuura, Yuta Mizukami, M. Pula, Igor Marković, D. A. Bonn, Takao Watanabe, Aichi Yamashita, Yoshikazu Mizuguchi, G. M. Luke, Kenji Kojima, Y. J. Uemura, T. Shibauchi

Bibliographic record

VenueNature Communications · 2025
Typeerratum
Languageen
FieldMaterials Science
TopicIron-based superconductors research
Canadian institutionsMcMaster UniversityUniversity of British Columbia
Fundersnot available
KeywordsSuperconductivityT-symmetrySymmetry (geometry)Symmetry breakingTopology (electrical circuits)PhysicsTheoretical physicsCondensed matter physicsMathematicsQuantum mechanicsCombinatoricsGeometry

Abstract

fetched live from OpenAlex

In this article the author name Takasada Shibauchi was incorrectly written as Tasakada Shibauchi. The original article has been corrected.

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)0.027
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 score0.031
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.027
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 science0.0020.001
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0310.017

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 head0.028
GPT teacher head0.350
Teacher spread0.322 · 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
Published2025
Admission routes1
Has abstractyes

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