Phenotypic plasticity in physiological status at emergence from nests as a response to temperature in Atlantic salmon (<i>Salmo salar</i>)
Bibliographic record
Abstract
Successful transitions from relying on yolk to exogenous feeding may be strongly influenced by temperature conditions experienced both during embryonic development, through effects on juvenile phenotype, and during initiation of feeding. Here we simultaneously assess these two effects of temperature treatments (2, 5, 8, and 12 °C) in Atlantic salmon ( Salmo salar ). Fry emerging from low incubation temperatures were smaller and had metabolized more energy prior to emergence, but had larger yolk sacs and higher mass specific energy levels, than those experiencing higher temperatures. After emergence, activity, feeding, and growth increased significantly with increasing temperature, but fry were able to initiate feeding and maintain positive growth at all four temperatures. Larger energy stores may provide an advantage when emerging at cold temperatures with a low potential for feeding activity, whereas having a large body size, which is primarily of importance in competitive interactions, may be less important owing to cryptic feeding and sheltering at low temperatures. However, the adaptive significance of the observed phenotypic response to incubation temperature remains untested.
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".