Flax Oil and High Linolenic Oils
Bibliographic record
Abstract
Abstract The fatty acid composition of plant oils varies greatly among plant species. Plant sources with high omega‐3 fatty acid content, including those rich in α‐linolenic acid (ALA), have recently received special attention due to the beneficial effects of these oils on human health. Many of the commercially available plant oils and fats are good sources of oleic and linoleic acids, but fewer offer substantial amounts of ALA. This article discusses oils high in ALA from the seeds of flax, perilla, camelina, and chia. All of these seed oils contain above 70% polyunsaturated fatty acids (PUFAs), and the ALA contents are above 50% of the total oil content. Oils from these crops are produced on an industrial scale and the processes are outlined in this article, along with pretreatment and refining techniques to acquire food and industrial products from seed. Chemical composition, physical properties, and typical oil parameters for these oils are reviewed here.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".