Data from: Stock composition of juvenile salmon taken by an abundant, pursuit-diving seabird in the coastal waters of British
Bibliographic record
Abstract
We determined the stock composition of the juvenile salmon delivered to offspring by a pursuit-diving seabird, the Rhinoceros Auklet (Cerorhinca monocerata) on five breeding colonies in British Columbia, in 2012-2014. We obtained 778 meals (bill-loads) in 11 colony-years, of which 215 (28%) included salmon, and estimated stock composition for 126 pink, 101 sockeye, and 113 chum. The number, species, and stock composition of salmon taken by the birds varied markedly among colonies and years. On the two southernmost colonies there was a dramatic increase in the amount of Fraser River sockeye in diets in 2012, the offspring of the exceptionally large run up the river in 2010. The biennial cycle in pink salmon was also evident: individuals from Puget Sound stocks featured prominently in diets on colonies in 2012 and 2014, but were virtually absent in 2013 and replaced by pinks from more northerly stocks. Salmon generally comprise a minor proportion of Rhinoceros Auklet diets, but our results show that these seabirds will respond to pulses of increased abundance of juvenile salmon.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.005 |
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".