The impact of live-trapping on the stress response of the meadow vole (Microtus pennsylvanicus).
Bibliographic record
Abstract
In physiological research on natural populations, it is essential to understand the impact of capture-induced stress because of its numerous effects on many physiological processes. Our objective was to determine the extent to which the stress levels of meadow voles (Microtus pennsylvanicus) were affected by short-term responses to live-trapping and how these were influenced by the amount of time spent in live-traps. Baseline levels were obtained from a snap-trapped sample and stress levels were determined from voles that had spent variable amounts of time in live-traps (up to 16.5 h). Stress levels were inferred from corticosterone and glucose concentrations and hematocrit levels. In the live-trapped sample, corticosterone concentrations reflect only the stress of trap confinement whereas glucose concentrations and hematocrit reflect both the effects of trap confinement and handling. Live-trapping caused corticosterone concentrations to increase by 108% (from 390.3 ng/mL to 810.6 ng/mL), glucose concentrations to increase by 58% (from 55.4 mg/dL to 87.4 mg/dL), and hematocrit levels to increase by 10% (from 49% to 54%) from baseline levels. The length of time a vole spent in a live-trap did not affect corticosterone and glucose concentrations; however, hematocrit levels increased slightly over time (0.21%/h). We conclude that live-trapping induced a stress response in voles, but that longer times in traps did not increase the stress levels.
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.
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".