Heat and mosquitoes cause breeding failures and adult mortality in an Arctic‐nesting seabird
Bibliographic record
Abstract
We report on variation in rates of egg loss among Brünnich’s GuillemotUria lomviabreeding at Coats Island, northern Hudson Bay, in 1997–1999, and on several cases of adult mortality during incubation in the same years. Common factors in the dates of peak egg loss and adult mortality were high maximum daily temperatures and the presence of high numbers of mosquitoes in the area. Mortality was confined to breeding sites close to the edge of the colony, where mosquito parasitism was highest, and to those sites exposed to afternoon sunshine. High temperatures that occurred on days without mosquitoes were not associated with high egg losses or with adult mortality. Hence, it appears that a combination of heat and mosquitoes was necessary to bring about observed mortality and egg losses. The dates of first appearance and peak abundance of mosquitoes at Coats Island have advanced since the mid‐1980s, perhaps in response to ongoing climate change. The effects on breeding Brünnich’s Guillemots suggest that the birds have not had time to adjust their behaviour to the resulting changes in the timing of peak mosquito parasitism.
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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 | 0.001 | 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".