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Record W3196762705 · doi:10.21423/aabppro20074603

Use of Rumensin® Premix in Dairy Cows

2007· article· en· W3196762705 on OpenAlexaffabout
J. Dubuc, Denis DuTremblay, M. Brodeur, R. Bagg, J. Baril, Luc DesCôteaux

Bibliographic record

VenueAmerican Association of Bovine Practitioners Conference Proceedings · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRuminant Nutrition and Digestive Physiology
Canadian institutionsCanadian Animal Health InstituteUniversité de Montréal
Fundersnot available
KeywordsMonensinAnimal scienceHerdMilk productionDairy cattleFood scienceChemistryBiology

Abstract

fetched live from OpenAlex

Monensin premix (Rumensin® Premix, Elanco Animal Health, Canada) has been approved in Canada for use in lactating dairy cows since 2004 at a dose range of 8 to 24 ppm (7-22g per ton). Several studies have found that monensin increases milk production and decreases milk fat percentage in lactating dairy cows. Recent research has found that some dietary factors influence the monensin effect on milk production and milk fat percentage. To assist bovine practitioners in making recommendations about the use of monensin in dairy herds, there is a need for knowledge about those dietary factors influencing monensin effects. The objectives of this project were to evaluate the effects of 16 ppm (15g per ton) of monensin on milk production (PROD) and milk fat percentage (MFP), and to find dietary factors influencing those effects.

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 score0.004
Threshold uncertainty score0.008

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.027
GPT teacher head0.256
Teacher spread0.229 · 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
Published2007
Admission routes2
Has abstractyes

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