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Record W4413258197 · doi:10.1038/s41467-025-62642-9

Author Correction: Colistin enhances caspofungin antifungal efficacy against Aspergillus fumigatus by modulating calcium homeostasis and stress responses

2025· erratum· en· W4413258197 on OpenAlexaff
Laura C. García Carnero, Xingyue Li, Patrícia Alves de Castro, Camila Figueiredo Pinzan, Jonatas Erick Maimoni Campanella, Iran Malavazi, Mami Yoshimura, Luis Alberto Vega Isuhuaylas, Yoko Yashiroda, Charles Boone, Nir Osherov, Sara Fallah, Taylor Davie, Nicole Robbins, Leah E. Cowen, Ling Lü, Thaila Fernanda dos Reis, Gustavo H. Goldman

Bibliographic record

VenueNature Communications · 2025
Typeerratum
Languageen
FieldMedicine
TopicAntifungal resistance and susceptibility
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAspergillus fumigatusCaspofunginColistinAntifungalAspergillosisMicrobiologyCalciumBiologyMedicineVoriconazoleImmunologyAntibioticsInternal medicine

Abstract

fetched live from OpenAlex

In this article the author’s name Laura Cristina García Carnero was incorrectly written as Laura Garcia Carnero and the given and family names were incorrectly structured. The original article has been updated.

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)0.023
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 score0.030
Threshold uncertainty score0.101

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.023
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0060.009
Insufficient payload (model declined to judge)0.0300.019

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 head0.031
GPT teacher head0.356
Teacher spread0.325 · 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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