Influence of Marine Feeding Area on Lipid Accumulation in Juvenile Coho Salmon
Bibliographic record
Abstract
The succession of seasons is accompanied by predictable changes in the environment. In general, food production increases in the spring to reach a maximum during summer, and then declines in the fall before reaching minimal values during winter. Hence, fish often face food shortages during winter and must rely on the reserves accumulated during summer to fuel their metabolic functions. As the duration of winter increases with latitude in the northern hemisphere, fish living at the northern end of their distribution must accumulate higher lipid reserves during the growing season to survive over winter (Conover and Present 1990). Here, we tested the hypothesis that lipid accumulation in Pacific salmon increases with latitude during summer. Juvenile coho salmon (Oncorhynchus kisutch) were collected in the Eastern Bering Sea (BS), in southeastern Alaska (SEA), and on the west coast of Vancouver Island (WCVI) using a rope trawl in September–November 2002–2003 (Fig. 1). Growth rates of juvenile coho salmon were estimated assuming that WCVI, SEA, and BS coho smolts migrated to sea at an average size of 100 mm on May 1, May 15, and June 1, respectively, as coho smolts
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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 | 0.000 |
| 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".