A comparative analysis of physiological health parameters across age classes in a sentinel seabird wintering along the Canadian West Coast
Bibliographic record
Abstract
The "Salish Sea Gull Project" was set up to monitor the health of a valuable coastal ecosystem facing increasing pressures from human activity. To this end, Glaucous-winged Gulls (GWGU) are used as sentinels, as they are generalist seabirds and sensitive to changes. Thus, monitoring the long-term physiological health parameters of the GWGU population would enable us to better understand and predict how they are affected by new stressors. However, little is known about the baseline health values of this species during the wintering period, and even less is known about it for the different age classes. We, therefore, wondered whether variations in individual physiological parameters are age-related, such as nutritional state, aerobic status, oxidation status, and physical condition. Our results showed that juveniles had lower aerobic and oxidative status. The monitoring protocol should include GWGU's juvenile samples, which are an even more sensitive sentinel.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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".