Stochastic Food Deprivation has no Effect on Cellular Immunity in the Striped Field Mouse (Apodemus agrarius)
Bibliographic record
Abstract
Immune system protects animals from the attack of pathogens, which is crucial to their survival and fitness. Small mammals in the temperate area are confronted with unpredictable food shortage frequently due to the fluctuation of food resources seasonally. Our previous research has shown that stochastic food deprivation (FD) increases T cell-mediated immunity in Kunming mice. In the present study, we tested the hypothesis that stochastic food deprivation would also increase T cell-mediated immunity in the striped field mouse. Nine female striped field mouse were randomly divided into the Fed (n = 5) and FD (n = 4) groups, in which the latter were subjected to stochastic FD regime. Contrary to our expectation, stochastic food deprivation had no significant effect on phytohaemagglutinin (PHA) response indicative of T cell-mediated immunity in striped field mouse compared with the fed controls. Moreover, body mass, body fat mass, wet thymus and spleen mass, white blood cells and blood glucose levels did not differ between the Fed and FD groups. Taken together, the striped field mouse could maintain stable cellular immunity in face of unpredictable food shortage.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".