Effect of temperature on preference for dietary unsaturated fatty acids in the Djungarian hamster (<i>Phodopus sungorus</i>)
Bibliographic record
Abstract
Previous studies have shown that hibernators preparing for winter prefer a diet rich in unsaturated fat. This study was designed to determine if a daily heterotherm, the Djungarian hamster (Phodopus sungorus), shows a similar preference when given simultaneous access to two diets, one rich in saturated fat and the other rich in unsaturated fat. In two experiments, hamsters that had been exposed to short days for 8-10 weeks were exposed to 8°C for 10 days. When half of these animals were moved to a warm environment (26-29°C), they developed a significantly lower preference for the unsaturated diet than controls that remained at 8°C (P < 0.01). This difference in preference disappeared when the experimental group was returned to 8°C (P = 0.4). Although mean body temperature (Tb) was significantly lower (mean difference = 0.35°C) in experimental animals in the cold environment, most animals did not enter daily torpor at any time during the experiment. Together, these results suggest that the large decreases in core Tb accompanying torpor, originally assumed to necessitate the incorporation of unsaturated fatty acids into cell membranes of hibernators and daily heterotherms, are not necessary to stimulate changes in food choice.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".