Effects of experimental food restriction and body-mass changes on the avian T-cell-mediated immune response
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The T-cell-mediated immune response (CMI) of birds, measured with the phytohaemagglutinin skin test, is in most cases positively correlated with their body mass. This correlation, however, does not imply causality, since high-quality birds may be more immunocompetent as well as heavier at the time of sampling. We assessed this relationship experimentally by measuring the changes in body mass and CMI in individual captive yellow-legged gulls (Larus cachinnans) maintained with food provided ad libitum (control group), with no food (fasting group), or with one-third of their daily food requirements (subfeeding group). We identified a direct, nonlinear relationship between food intake, body mass, and CMI. Before the experiment started, body mass of birds (corrected for size) fed ad libitum did not correlate with their CMI, while a positive correlation was found after food restriction. This suggests that birds may reach a threshold above which increases in food intake and body mass do not enhance CMI. Thereafter, food restriction caused decreases in CMI that were significantly correlated with the percentage of body mass lost by each bird. However, for birds that lost similar proportions of body mass, changes in CMI varied according to food-restriction treatment, the subfeeding group exhibiting a stronger CMI than the fasting group.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it