Ocean climate variability links incubation behaviour and fitness in Ancient Murrelets (<i>Synthliboramphus antiquus</i>)
Bibliographic record
Abstract
Large-scale interannual and decadal variation in ocean conditions, including sea-surface temperature (SST) has been shown to affect the breeding behaviour of marine birds in the North Pacific. However, as individual species respond differently to changing food supplies, our understanding of the role of climate variation in seabirds is limited. To examine the effect of ocean conditions on breeding behaviour, we measured incubation shift lengths of Ancient Murrelet ( Synthliboramphus antiquus (Gmelin, 1789)), a small marine bird with exceptionally long incubation shift length, in seven, nonconsecutive years. We compared variation in shift length with interyear variation in regional SST. Incubation shifts were longer in years when March–May SST was higher. In years with longer shift length, birds have lower reproductive success. Our results suggested that Ancient Murrelets on Haida Gwaii can adjust their incubation patterns by extending their shift length in relation to SST fluctuations during breeding season.
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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) | 0.001 | 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".