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Record W4407240255 · doi:10.1093/infdis/jiaf051

Is Systemic Dissemination of BCG Following Neonatal Vaccination Required for Protection Against <i>Mycobacterium tuberculosis</i>?

2025· article· en· W4407240255 on OpenAlexafffund
Tobias R. Kollmann, Nelly Amenyogbe, Frederik Schaltz‐Buchholzer, Ole Bæk, James I. Campbell, David J. Lynn, Anita J Campbell, Peter Aaby, Christine Stabell Benn, Mihai G. Netea, Maziar Divangahi

Bibliographic record

VenueThe Journal of Infectious Diseases · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune responses and vaccinations
Canadian institutionsMcGill UniversityMcGill University Health CentreDalhousie University
FundersCanadian Institutes of Health ResearchOpen Philanthropy ProjectNovo Nordisk FondenDalhousie UniversityDet Sundhedsvidenskabelige Fakultet, Københavns UniversitetNational Institutes of HealthNational Institute of Allergy and Infectious DiseasesBill and Melinda Gates Foundation
KeywordsVaccinationTuberculosisMedicineBCG vaccineVirologyImmunologyPathology

Abstract

fetched live from OpenAlex

Tuberculosis (TB) is caused by Mycobacterium tuberculosis (Mtb) and is a leading cause of death. BCG is the only licensed TB vaccine. Preclinical studies have shown that in adults, intravenous administration of BCG improves protection against TB. We hypothesize that intradermal administration of BCG to the human newborn leads to low-grade BCG bacteremia and that this systemic dissemination improves protection against Mtb infection. This hypothesis is based on supporting observations including animal and human studies. It is a testable hypothesis and offers to deliver immediately actionable insight to advance the global efforts against TB.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.007
GPT teacher head0.265
Teacher spread0.258 · 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 designObservational
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

Citations3
Published2025
Admission routes2
Has abstractyes

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