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Record W1581414002

Wheel running, feeding, and body weight in adult male rats: Generalizations to adult females and younger animals

2000· article· en· W1581414002 on OpenAlexaff
Veronica M. Afonso

Bibliographic record

VenueScholars Commons (Wilfrid Laurier University) · 2000
Typearticle
Languageen
FieldMedicine
TopicAdipose Tissue and Metabolism
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsBody weightAdult maleBiologyWheel runningEndocrinology
DOInot available

Abstract

fetched live from OpenAlex

For adult male rats, initial access to a running wheel results in a pronounced suppression of feeding with a subsequent disruption of weight gain, but results with female and younger rats are not as clear. The present experiments demonstrated that age may be a confounding factor in the conflicting reports. The effects of ad lib wheel access on feeding and body weight were investigated in adult male, adult female, and weanling male rats using consistent procedures and recording data daily. For adult males and females, wheel access initially suppressed feeding and reduced weight relative to sedentary controls. These effects were similar in males and females. Weanling males displayed only a mild, temporary, feeding and weight suppression, which became non- significant when compared to the adult males. Thus, age seems to be an important factor in wheel running effects on feeding and weight. These age differences may speak to the age differences in incidence of anorexia nervosa.

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)0.000
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.013
GPT teacher head0.238
Teacher spread0.225 · 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
Published2000
Admission routes1
Has abstractyes

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