MétaCan
Menu
← Back to cohort
Record W7009061304

Cytokine Gene Expression in Holstein-Friesian and Jersey Calves Infected with Mycobacterium avium subsp. paratuberculosis

2014· dissertation· en· W7009061304 on OpenAlexfundno aff

Bibliographic record

VenueThe Atrium (University of Guelph) · 2014
Typedissertation
Languageen
FieldMedicine
TopicMycobacterium research and diagnosis
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaDairy Farmers of Ontario
KeywordsParatuberculosisImmune systemCytokineBreedGene expressionMycobacterium avium subsp. paratuberculosisFecesMycobacterium
DOInot available

Abstract

fetched live from OpenAlex

Breed susceptibility to bovine Johne’s disease has been implied suggesting that Jersey cattle are more susceptible to disease as compared to Holstein-Friesian. A sixty-day experimental in vivo infection study was carried out by surgically infecting Holstein-Friesian and Jersey calves with the etiological agent of Johne’s disease, Mycobacterium avium subsp. paratuberculosis (Map). Breed-specific comparison of expression of key cytokine transcripts in the ileocecal lymph nodes of Map-infected and uninfected calves by real-time PCR did not indicate any significant differences. The expression of IFN-γ transcript was found to be significantly different for the treatment groups in both breeds with a higher expression level in infected than in control animals but there was no indication this differed between breeds. These data indicate that there are no breed-specific differences in the expression of key cytokine transcripts at sixty days post Map-infection and warrants long-term infection studies to analyze breed-specific immune response and in defining breed susceptibility.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.011
GPT teacher head0.235
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 source (direct Gemma or distilled Codex), 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

Citations0
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueThe Atrium (University of Guelph)→Same topicMycobacterium research and diagnosis→French-language works237,207→