Seasonal decline in health status of Great Tit (<i>Parus major</i>) nestlings
Bibliographic record
Abstract
Seasonal variation in offspring survival and recruitment rates in birds may be mediated by immune function, as it defines the ability of individuals to protect themselves against parasites and infectious diseases. To investigate the relationship between hatching date and health status of Great Tit (Parus major) nestlings, two blood parameters (leukocyte level and haematocrit) were estimated. Leukocyte level decreased as the season progressed within first but not second broods, while haematocrit showed no seasonal variation within either brood type. However, nestlings from first broods had both higher leukocyte levels and higher haematocrit than nestlings from second broods. Nestling body condition (defined as the residual of body mass on tarsus length calculated from linear regression) was not related to hatching date within brood type, while a significant difference between brood types was found. We suggest that the commonly observed decline in juvenile survival rate as the season progresses may be at least partly attributed to seasonal changes in health status.
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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".