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Record W2487243662

Effects of Maternal Dietary Yeast Supplementation on Foal Growth and Microbial Diversity of the Hindgut in Quarter Horse Mares and Their Offspring

2015· article· en· W2487243662 on OpenAlexaboutno aff
E.R. Share

Bibliographic record

VenueOhioLink ETD Center (Ohio Library and Information Network) · 2015
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Equine Medical Research
Canadian institutionsnot available
Fundersnot available
KeywordsFoalHindgutOffspringHorseBiologyQuarter (Canadian coin)Diversity (politics)Animal sciencePregnancyEcologyGeneticsGeography
DOInot available

Abstract

fetched live from OpenAlex

supplementation of the maternal diet.Overall, supplementation of the maternal diet with live yeast did not impact foal growth but did influence the microbial profiles in the hindgut of mares and their offspring.v DEDICATION Dedicated to my Granny, Judy Lee Bryant vi ACKNOWLEGDEMENT I would like to first thank my family and friends who have supported me throughout this process.My parents, Doug and Becky Share, and my two sisters, Katie and Victoria, have been there when I need to have a complete meltdown and just vent my frustrations for a bit.My friends Penny, Masa and Corey have been irreplaceable during this time.Thanks for listening and giving me good advice on how to handle the stress that comes along with

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)0.001
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 score0.002
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.022
GPT teacher head0.246
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 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

Citations1
Published2015
Admission routes1
Has abstractyes

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