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Record W2961347435 · doi:10.1128/mbio.01597-19

Progress in Elucidating Potential Markers and Mechanisms of Rapid Protection Conferred by the VSV-Vectored Ebola Virus Vaccine

2019· letter· en· W2961347435 on OpenAlexaff
Gary Wong

Bibliographic record

VenuemBio · 2019
Typeletter
Languageen
FieldMedicine
TopicViral Infections and Outbreaks Research
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsVesicular stomatitis virusEbola virusVirologyBiologyInnate immune systemImmunityAcquired immune systemImmune systemVirusMononegaviralesViral replicationImmunologyViral disease

Abstract

fetched live from OpenAlex

article, Menicucci et al. carried out a transcriptome analysis of host responses in monkeys immunized with VSV-EBOV from 28 to 3 days before challenge (A. R. Menicucci, A. Jankeel, H. Feldmann, A. Marzi, and I. Messaoudi, mBio 10:e00597-19, 2019, https://doi.org/10.1128/mBio.00597-19). It was found that surviving animals had a controlled innate immune response coupled with rapid adaptive immunity, but this was not detected in nonsurviving animals. These studies highlight the important role innate immunity plays in creating an antiviral state to restrict EBOV replication and ensuring enough time for the vaccine to induce an effective adaptive immune response.

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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.744
Threshold uncertainty score0.676

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.017
GPT teacher head0.272
Teacher spread0.256 · 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 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

Citations4
Published2019
Admission routes1
Has abstractyes

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