Metabolic rate and tissue reserves in gilthead sea bream (<i>Sparus aurata</i>) under thermal fluctuations and fasting and their capacity for recovery
Bibliographic record
Abstract
To differentiate between cold and fasting effects on gilthead sea bream (Sparus aurata) physiology, three conditions (cold-induced fasting at 8 °C, cold group; forced fasting at 18 °C, fasting group, and cyclic thermal fluctuations between 16 °C and 8 °C, fluctuating group) were compared with a control group (feeding at 18 °C). Oxygen consumption rate, plasma lipid fractions, and tissue composition were analysed either during long exposure (5 weeks) or after 20 days of recovery. Sea bream showed strict thermoconformism in metabolic rate and feeding, and all groups, after changes, mobilised perivisceral fat. The fasting group also consumed other tissue reserves sequentially, except nonpolar lipids in liver. In the cold group, this liver lipid fraction increased twofold, but in the fluctuating group, food intake was gradually restored during each short period of higher temperature, and the steatotic livers caused by cold were not seen. During recovery, the fasting group showed the highest growth rate and deposition of reserves, whereas the cold group, although they mobilised liver lipid, did not grow. Appropriate management of the transient short periods of higher temperature may improve recovery from the cold season in gilthead sea bream culture.
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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".