Experimental demonstration of differences in sheltering behaviour between Icelandic populations of Atlantic salmon (<i>Salmo salar</i>) and Arctic char (<i>Salvelinus alpinus</i>)
Bibliographic record
Abstract
Most salmonids, as well as many other freshwater fish species in the Northern Hemisphere, have been reported to show some form of daytime sheltering behaviour over the winter. Previous work has shown that temperatures around 6-8°C trigger the onset of this sheltering behaviour. However, fish from colder environments would be expected to respond differently to temperature than fish from warmer environments. The incidence of sheltering at different temperatures between two Icelandic populations of both juvenile Atlantic salmon (Salmo salar) and juvenile Arctic char (Salvelinus alpinus) was examined by quantifying the use of refuges in identical controlled laboratory conditions. The results showed clear differences in the sheltering response between the different populations. Salmon from a warm, productive stream and riverine char emerged more by day from their shelter at low temperatures (5-8°C) than did either salmon from a cold, unproductive stream or char from a landlocked lake population. These population differences indicate local adaptations that must be kept in mind when managing fish populations; moreover, the differences do not appear to be predictable on the basis of ambient thermal regimes.
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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 | 0.001 |
| 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".