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Record W2105956245 · doi:10.1079/ecep200421

Effects of diet, feeding and daily variation on acid–base balance in horses

2004· article· en· W2105956245 on OpenAlexafffund
Amanda P. Waller, S. L. Armstrong, K-J Smithurst, MI Lindinger

Bibliographic record

VenueEquine and comparative exercise physiology · 2004
Typearticle
Languageen
FieldMedicine
TopicRenal function and acid-base balance
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsAcid–base homeostasisAlkalosisAcidosisAnimal scienceMetabolic acidosisMetabolic alkalosisAcid–base reactionChemistryInternal medicineForageComposition (language)Base excessEndocrinologyBiologyBiochemistryMedicineAgronomy

Abstract

fetched live from OpenAlex

This paper reviews the acute and chronic effects of feeding, diet composition and daily variation on equine acid–base status. The dietary cation–anion difference (DCAD) has a marked effect on blood acid–base balance in both the short term and long term. In general, diets with a low DCAD generate an acute acidosis that develops into a persistent though mild systemic, strong ion acidosis with long-term feeding. In contrast, high-DCAD diets result in a mild, persistent strong ion alkalosis characterized by elevated plasma pH, [HCO3] and total CO2 (TCO2). The acute blood acid–base responses to feeding include alterations in plasma pH and plasma concentrations of HCO3, TCO2, Cl−, Na+, K+ and protein. The forage component of the diet appears to be primarily responsible for the acute responses. There is limited research examining abrupt alterations in DCAD and the influence of daily variation on equine plasma acid–base balance. It is concluded that the composition of the diet, duration of adaptation to the diet, timing of feeding and time of day need to be considered when examining acid–base balance in horses.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.520
Threshold uncertainty score0.415

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.021
GPT teacher head0.280
Teacher spread0.259 · 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 teacher head, 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

Citations7
Published2004
Admission routes2
Has abstractyes

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