Temperatur-Plastizität und Leistungsanpassung im Fisch-Muskel (Gadidae): Konsequenzen für Aktivitätsniveau und Lebensweise
Bibliographic record
Abstract
A recently developed model of thermal tolerance proposed that a hierarchy of biological functioning exists, each level of which displays different thermal tolerances. As the hierarchy is ascended from a molecular and biochemical level, through cellular, organ, systemic, whole animal and ultimately ecological levels, the windows of thermal tolerance narrow. The current study looked at the thermal plasticity and adaptational mechanisms at selected biological levels of cod populations from the North East Arctic (NEAC), the North Sea (NSC) and Newfoundland (NFC), to explore their potential impacts on activity and lifestyle.Mitochondrial proliferation and increased myoglobin expression, in combination with the reduced kick and glide duration and a lower swimming efficiency all point to a metabolic shift from anaerobic pathways at 10 degrees C, towards a greater dependence on aerobic metabolism at 4 degrees C. All Atlantic cod populations were able to maintain cellular and biochemical, physiological and systemic functioning between 4 degrees C and 10 degrees C. Although biochemical, physiological and whole animal performance were reduced at 4 degrees C, acclimation temperature had no effect. The thermal flexibility of the examined functions at the different levels of organisation observed in the current study between 4 degrees C and 10 degrees C is evidently a requirement of living in the thermally unstable environment in which Atlantic cod find themselves.
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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".