Does nest concealment in Wood Thrushes predict predation risk and female stress levels?
Bibliographic record
Abstract
The Wood Thrush (Hylocichla mustelina) is a long-distance migrant that has declined severely in the last 50 years and is currently listed as a Species at Risk in Canada. This study investigated whether nest concealment from nest predators and brood-parasitic Brown-headed Cowbirds had an influence on the success of Wood Thrush nests. Through visual estimates of concealment in 186 nests over 3 years, results show that Wood Thrushes experience high nest predation (53.2%) and moderate cowbird parasitism (25.3%) in southwestern Ontario. However, nest concealment does not predict probability of having a successful nest or evading parasitism. We also tested if nest concealment impacts an incubating females flight initiation distance (FID) or corticosterone level (a measure of stress). Although we found no correlation between these variables, this is the first step in understanding if nest site selection affects the female directly, and not just her immediate nesting success.
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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 | 0.001 |
| 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) | 0.002 | 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".