Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Gamma linolenic acid (GLA, cis‐6, cis‐9, cis‐12‐octadecatrienoic acid) is a conditionally essential fatty acid of the n‐6 family. It is produced in the mammalian body from enzymatic desaturation of linoleic acid, an essential fatty acid that must be supplied by the diet. It is widely distributed in plant kingdom in trace amounts and is not present in major commercial vegetable seed oils. It is present in seeds of many species belonging to families Aceraceae, Boraginaceae, Cannabinaceae, Liliaceae, Onagraceae, Ranunculaceae, Saxifragaceae, and Scrophulariaceae. A very limited number of plant sources have been commercialized in last 30 years as a source of GLA, mainly in the health food industry and, to a limited extent, in pharmaceutical, pet food, and cosmetic industries. These include oils of borage, black currant, evening primrose, and recently, hemp. The total market for GLA‐containing oils is about $60–$70 million per year. Research on GLA in the last three decades has focused on the physiologic and pharmacologic effects, including its effects on second messenger system in the body. On the production side, the research focus is on identification of new sources and yield optimization. This chapter reviews the current state of knowledge about sources and nutritional and health benefits of GLA and attempts to identify areas for future research that will help develop markets for GLA.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it