11. Egg fortification with n-3 polyunsaturated fatty acids
Bibliographic record
Abstract
Consumer interest in foods enriched in n-3 long-chain polyunsaturated fatty acid (LCPUFA) has created an opportunity for the egg industry to provide shell eggs and egg products that are naturally enriched in these important fatty acids. The use of both plant- and marine-derived n-3 fatty acids in the diet of laying hens can lead to significant accumulations of both total n-3 and the n-3 LCPUFA (docosahexaenoic and eicosapentaenoic acid; DHA and EPA) in table eggs. The final composition of the n-3 fatty acid profile of eggs will depend on the balance of alpha-linolenic acid (plant-derived) and DHA/EPA (marine-derived) provided in the diet, as well as other factors including the usage of novel ingredients that provide unique fatty acids (i.e. stearidonic acid). Acceptability by consumers will ultimately depend on their knowledge of the role of specific fatty acids in the promotion of optimal health, and the extent to which enriched eggs maintain the flavour, aroma, taste and functionality of conventional eggs.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.011 |
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".