MétaCan
Menu
Back to cohort
Record W2168635341 · doi:10.1093/infdis/jit488

Mouse and Pig Models for Studies of Natural and Vaccine-Induced Immunity to Bordetella pertussis

2014· review· en· W2168635341 on OpenAlexafffund
Kingston H. G. Mills, Volker Gerdts

Bibliographic record

VenueThe Journal of Infectious Diseases · 2014
Typereview
Languageen
FieldImmunology and Microbiology
TopicBacterial Infections and Vaccines
Canadian institutionsUniversity of Saskatchewan
FundersCanadian Institutes of Health Research
KeywordsBordetella pertussisImmunityImmunologyWhooping coughPertussis vaccineAcquired immune systemImmunizationAdjuvantVaccinationInnate immune systemMedicineImmune systemVirologyBiologyBacteria

Abstract

fetched live from OpenAlex

The increasing incidence of whooping cough in many developed countries has been linked with waning immunity induced after immunization with acellular pertussis (aP) vaccines. The rational design of an improved aP vaccine requires a full understanding of the mechanism of protective immunity and preclinical studies in animal models. Infection of mice and pigs with Bordetella pertussis has many features of the infection seen in humans and has already provided valuable information on the roles of innate and adaptive immune responses in protection. Recent findings in these models have already indicated that it may be possible to develop an improved aP vaccine based on a formulation that includes a Toll-like receptor agonist as an adjuvant.

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)0.000
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.003

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 head0.042
GPT teacher head0.338
Teacher spread0.296 · 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
GenreReview

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

Citations37
Published2014
Admission routes2
Has abstractyes

Explore more

Same venueThe Journal of Infectious DiseasesSame topicBacterial Infections and VaccinesFrench-language works237,207