Quantification of Essential Fatty Acids and Assessment of the Nutritional Quality Indexes of Lipids in Tilapia Alevins and Juvenile Tilapia Fish (Oreochromis niloticus)
Bibliographic record
Abstract
To determine the nutritional quality of the lipid segment in tilapia (Orechromis niloticus) during different periods of development (alevins and juveniles), the total lipids (TL), linolenic (LNA), eicosapentaenoic (EPA), docosapentaenoic (DHA), linoleic (LA) and arachidonic (AA) acids were quantified , and the lipid nutritional quality indexes were calculated for the tilapia. The lipid profile showed that the species present high indexes of monounsaturated (MUFA) and polyunsaturated fatty acids (PUFA) in both development phases. The indexes of nutritional quality of lipids, atherogenic index (AI) and thrombogenic index (TI) present low values and represent beneficial health effects, both in the alevin and juvenile fish. The quantifications of LNA, EPA, DHA, LA and AA show the greatest values (mg/g of total lipids) for the juveniles. However, regardless of the development phase in which the tilapia is, the fish may be considered a source of essential fatty acids a kind of potential and nutritional food, reflecting beneficial effects for consumer’s health. <!--[if gte mso 9]> Normal 0 21 false false false PT-BR X-NONE X-NONE
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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".