The effects of environmental heat stress on heat-shock mRNA and protein expression in Miramichi Atlantic salmon (Salmo salar) parr
Bibliographic record
Abstract
The Atlantic salmon (Salmo salar) are one of Canada’s most important recreational fish, and are now classified as an endangered species in parts of Canada and the United States. Reasons for the observed population declines are believed to be many, and include variables such as overfishing, pollution, habitat degradation and temperature stress. Water temperature is known to be one of the most important environmental variables affecting fish. High stream temperatures between 23°C and 25°C have been observed to cause mortality in trout populations (Bjornn and Reiser 1991). Although Atlantic salmon can tolerate slightly higher temperatures, 27-28°C, depending on their life stage (Garside 1973), the sub-lethal impacts of temperature on molecular and physiological processes within the various life history stages of Atlantic salmon are less understood. Previous studies have shown that behavioural changes in Atlantic salmon start to occur at temperatures well below their lethal maximum, in the range of 22-24°C, when they start searching for refuge (Cunjak et al. 1993). While these behavioural changes are helpful in determining stressful
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".