Assessing metabolite profiles of wild Swainson's thrushes (Catharus ustulatus) in different moult stages using a veterinary point of care device
Bibliographic record
Abstract
Migration and moult are both energetically demanding and have conflicting physiological requirements, therefore usually separated in time. In some species, individuals may interrupt their migration to moult at discrete stopover locations outside of their breeding grounds (i.e., moult-migration) leading to competing physiological demands for moult and migration as protein is needed both for feather regeneration and efficient migration. Here, we examine the plasma metabolite profiles between moulting and post-moulting migrants by using a point-of-care analyzer providing real-time data in the field. Post-moulting birds, who were on shorter migration stopovers, had significantly higher concentrations of aspartate aminotransferase, calcium, sodium, phosphorous, and total protein than moulting birds, which is consistent with higher metabolic demands during migration and depletion of protein due to feather regeneration during moult. Additionally, uric acid, creatine kinase, total protein, aspartate aminotransferase, and potassium - all indicative of protein catabolism, muscle damage, and dehydration - were higher in lighter birds (below a scaled mass index of 7-7.5) regardless of moult status, which is consistent with lower energy reserves reflecting nutritional stress. Together, these metabolite profiles, measured in situ at a banding station, provide real-time insight into how birds mitigate the physiologically competing demands of moult and migration at a peri-urban stopover.
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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".