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Record W3005896458

Évaluation de l’innocuité de l’administration précoce d’une supplémentation en IgY sur la qualité du transfert passif et sur la croissance chez le chiot.

2019· dissertation· fr· W3005896458 on OpenAlexaboutno aff

Bibliographic record

VenueOpen Archive Toulouse Archive Ouverte (University of Toulouse) · 2019
Typedissertation
Languagefr
FieldVeterinary
TopicAnimal health and immunology
Canadian institutionsnot available
Fundersnot available
KeywordsColostrumBiology
DOInot available

Abstract

fetched live from OpenAlex

Le colostrum est essentiel pour l’immunité du chiot. L’objectif de cette étude est d’évaluer l’influence que peut avoir l’administration précoce d'une supplémentation orale en IgY sur la qualité du transfert passif et sur la croissance d’un chiot. Au sein d’un élevage canin, 90 chiots de race Labrador ont été suivi pendant 2 mois, avec prise de sang, suivi du poids et de la température rectale. La supplémentation orale précoce n’a aucune influence sur le transfert passif d’immunité et sur la croissance. Le sexe, la taille de la portée et le poids de naissance ont une influence sur la qualité du transfert passif d’immunité. Cette qualité du transfert passif d’immunité, les taux de croissance au cours des différentes périodes néo natales, le sexe ou encore la taille de la portée ont une influence sur la croissance du chiot. L’étude d’un possible transfert passif d’IgY dans le sang chez le chiot serait aussi pertinente.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.033
GPT teacher head0.302
Teacher spread0.269 · 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
Published2019
Admission routes1
Has abstractyes

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