MétaCan
Menu
Back to cohort
Record W4365143204 · doi:10.1016/j.ebiom.2023.104557

Primary role of type I interferons for the induction of functionally optimal antigen-specific CD8+ T cells in HIV infection

2023· article· en· W4365143204 on OpenAlexaff
Mariela P. Cabral-Piccin, Laura Papagno, Xavier Lahaye, Federico Perdomo-Celis, Stevenn Volant, Eoghann White, Valérie Monceaux, Sian Llewellyn‐Lacey, Rémi Fromentin, David A. Price, Nicolas Chomont, Nicolas Manel, Asier Sáez‐Cirión, Victor Appay

Bibliographic record

VenueEBioMedicine · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsCentre Hospitalier de l’Université de Montréal
FundersInstitut CurieUniversité de BordeauxAgence Nationale de la RechercheStyrelsen för Internationellt UtvecklingssamarbeteWellcome TrustSidactionFondation pour la Recherche MédicaleInstitut National de la Santé et de la Recherche Médicale
KeywordsStimulator of interferon genesCytotoxic T cellPriming (agriculture)CD8Immune systemBiologyImmunologyT cellAntigenContext (archaeology)HIV AntigensVirusIn vitroInnate immune system

Abstract

fetched live from OpenAlex

BACKGROUND: T cell responses against HIV-1. METHODS: T cells were assessed using flow cytometry and molecular analyses of gene transcription. FINDINGS: T cells elicited in the presence of cGAMP were polyfunctional and highly sensitive to antigen stimulation, even after priming from people living with HIV-1. INTERPRETATION: T cell-mediated immunity against HIV-1. FUNDING: This work was funded by INSERM, the Institut Curie, and the University of Bordeaux (Senior IdEx Chair) and by grants from Sidaction (17-1-AAE-11097, 17-1-FJC-11199, VIH2016126002, 20-2-AEQ-12822-2, and 22-2-AEQ-13411), the Agence Nationale de la Recherche sur le SIDA (ECTZ36691, ECTZ25472, ECTZ71745, and ECTZ118797), and the Fondation pour la Recherche Médicale (EQ U202103012774). D.A.P. was supported by a Wellcome Trust Senior Investigator Award (100326/Z/12/Z).

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.587
Threshold uncertainty score0.653

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.241
Teacher spread0.224 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations17
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueEBioMedicineSame topicImmune Cell Function and InteractionFrench-language works237,207