Assessing feeding history and health status through analysis of fatty acids and fat content in golden mullet<i>Liza aurata</i>
Bibliographic record
Abstract
The aim of this study was to check the suitability of using fatty acids of vegetable origin as biomarkers of aquafeed consumption in fish that aggregate around off-shore fish farms, analysing their different accumulation patterns and their persistence in different tissues in juveniles of Liza aurata (Risso, 1810). Their natural diet was replaced by a commercial feed, followed by a return to the natural diet (wash-out period). The fatty acid profiles of flesh, liver, and brain were modified after 2 months of commercial feed consumption, while 2 months of the wash- out period were not sufficient to return to original values, the brain being particularly resilient in this respect. Histological examination of the liver showed no alterations of the lipid droplet distribution or fat content. The combined use of flesh and brain for fatty acid analysis can be recommended for tracking aquaculture waste intake in the form of lost pellets by wild fish.
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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 | 0.001 | 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".