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Record W4406429573 · doi:10.1038/s41590-025-02079-w

Author Correction: Dual blockade of IL-10 and PD-1 leads to control of SIV viral rebound following analytical treatment interruption

2025· erratum· en· W4406429573 on OpenAlexaff
Susan Pereira Ribeiro, Zachary Strongin, Hugo Soudeyns, Felipe ten-Caten, Khader Ghneim, Gabriela Pacheco Sánchez, Giuliana Xavier de Medeiros, Perla M. Del Río Estrada, Adam‐Nicolas Pelletier, Timothy N. Hoang, Kevin Nguyen, Justin Harper, Sherrie Jean, Chelsea Wallace, Robert Balderas, Jeffrey D. Lifson, G. Raghunathan, Eric Rimmer, Cinthia V. Pastuskovas, Guoxin Wu, Luca Micci, Ruy M. Ribeiro, Chi Ngai Chan, Jacob D. Estes, Guido Silvestri, Daniel M. Gorman, Bonnie J. Howell, Daria J. Hazuda, Mirko Paiardini, Rafick‐Pierre Sékaly

Bibliographic record

VenueNature Immunology · 2025
Typeerratum
Languageen
FieldMedicine
TopicViral Infections and Immunology Research
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsBlockadeDual (grammatical number)Viral infectionMedicineImmunologyVirologyControl (management)Internal medicineVirusComputer scienceReceptorPhilosophy

Abstract

fetched live from OpenAlex

In the version of this article initially published, Mirko Paiardini was not listed as a co-corresponding author, while the surname of Cinthia V. Pastuskovas was misspelled (Pastuskova) and was missing a middle initial. The changes are now reflected in the HTML and PDF versions of the article.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.313
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0000.000

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 head0.019
GPT teacher head0.368
Teacher spread0.348 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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