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Record W2184888060

EFFETS DES FACTEURS ALIMENTAIRES SUR LA SYNTHÈSE RUMINALE DE VITAMINES B CHEZ LA VACHE LAITIÈRE

2012· article· fr· W2184888060 on OpenAlexfundno aff
Mactar Seck

Bibliographic record

VenueCorpus Université Laval (Université Laval) · 2012
Typearticle
Languagefr
FieldAgricultural and Biological Sciences
TopicRuminant Nutrition and Digestive Physiology
Canadian institutionsnot available
FundersAgriculture and Agri-Food CanadaDairy Farmers of Canada
KeywordsForageSilageRiboflavinRumenVitaminFood scienceNiacinDry matterBiologyAnimal scienceChemistryAgronomyBiochemistryFermentation
DOInot available

Abstract

fetched live from OpenAlex

Deux études ont été initiées dans le but d’évaluer les effets du type de fourrages et du rapport fourrage : concentrés sur la synthèse ruminale de vitamines B. Dans un premier essai, huit vaches Holstein ont été alimentées avec une ration contenant de l’ensilage de luzerne ou de l’ensilage de dactyle comme unique fourrage. Dans un deuxième essai, quatorze vaches Holstein ont été alimentées avec une ration à faible taux de fourrages (44.8%) ou à fort taux de fourrages (64.1%). Utiliser le dactyle comme unique fourrage a augmenté les synthèses ruminales de thiamine, riboflavine, niacine et vitamine B6, mais n’a eu aucun effet sur celle de vitamine B12. Utiliser une ration à bas taux de fourrages a augmenté la synthèse ruminale de thiamine et de niacine, mais a réduit celle de la vitamine B12 tout en diminuant la dégradation ruminale de la vitamine B6. Cette étude est une étape vers l’identification de rations qui nécessiteront une éventuelle supplémentation afin d’optimiser la production laitière.

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 score0.010
Threshold uncertainty score0.020

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 studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.199
Teacher spread0.186 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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