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Effects of a high vs. low carbohydrate diet on fat and carbohydrate oxidation in cats

2010· article· en· W3166201449 on OpenAlexaff
Anna K. Shoveller, Elizabeth A. Flickinger, Jim L. Atkinson, I.J.H. Duncan, Margaret A. Gooding

Bibliographic record

VenueThe FASEB Journal · 2010
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Medicine and Surgery
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsCATSCarbohydrateNutrientAnimal scienceCrossover studyChemistryFood scienceBiologyInternal medicineMedicineBiochemistry

Abstract

fetched live from OpenAlex

Low or high carbohydrate (CHO) diets (18.9 and 46.3%, LC and HC, respectively) and length of adaptation were investigated in cats ( Felis catus; 10 ± 1 mo, 3 ± 1 kg ) . Cats received each treatment for 14 d in a crossover design and 20 h indirect calorimetry studies were conducted after acute (A; d 0), semi‐chronic (SC; d 4) and chronic (C; d 13) dietary exposure. Data were analyzed by repeated measures ANOVA and Proc Mixed. When cats consumed the HC and LC diet, Ox of the restricted nutrient exceeded intake while Ox of the nutrient in excess matched intake. Mean max energy expenditure (EE) of cats consuming the LC and HC diet were 107 and 102 kcal/kg 0.67 /d and occurred at a mean of 245 and 712 min post feeding, respectfully. Mean max fat (0.90 g/h) and CHO (1.42 g/h) Ox were attained at 26 and 626 min post feeding, respectfully. The changes in Ox and EE suggest that cats adapt to changes in dietary nutrient content, but may require longer than 14 d to adapt to restricted nutrient intake . Supported by: The Procter and Gamble Co., Pet Care, Ohio, USA

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.445
Threshold uncertainty score0.432

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.018
GPT teacher head0.264
Teacher spread0.247 · 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

Citations2
Published2010
Admission routes1
Has abstractyes

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