POSITIONAL DISTRIBUTION OF FATTY ACIDS IN EGG YOLK LIPIDS
Why this work is in the frame
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Bibliographic record
Abstract
ABSTRACT Numerous methods for the assessment of the positional distribution of fatty acids (FAs) in triacylglycerols (TGs) and phospholipids (PLs) have been described in the literature. Most of them employ enzymatic reactions or chiral separation by high‐performance liquid chromatography. Compared with most other food lipids, egg lipid has a rather unique composition, containing high amounts of TG as well as PL organized in lipoproteins. In this study, we demonstrate that the classical approach employing pancreatic lipase and phospholipase A2 is suitable for application to egg lipids. By using this method, the total distribution of FAs among the single positions of the main lipid classes in egg lipids can be measured in a rather straightforward way. Problems regarding accuracy, especially for the determination of minor and polyunsaturated fatty acids, are discussed. The presented method gave satisfactory results even for polyunsaturates such as docosahexaenoic acid down to amounts of 1% in a specific position.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it