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Record W2499594603 · doi:10.1021/bk-2001-0788.ch001

The Chemistry, Processing, and Health Benefits of Highly Unsaturated Fatty Acids: An Overview

2001· book-chapter· en· W2499594603 on OpenAlex
John W. Finley, Fereidoon Shahidi

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueACS symposium series · 2001
Typebook-chapter
Languageen
FieldNursing
TopicFatty Acid Research and Health
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsDocosahexaenoic acidDocosapentaenoic acidEicosapentaenoic acidPolyunsaturated fatty acidArachidonic acidNutraceuticalChemistryLong chainCYP2C8BiochemistryFood scienceFatty acidMetabolism

Abstract

fetched live from OpenAlex

Long-chain polyunsaturated fatty acids (LCPUFA) are primarily referred to eicosapentaenoic acid (EPA), docosapentaenoic acid (DPA) and docosahexaenoic acid (DHA) in the omega-3 series and arachidonic acid (AA) in the omega-6 series. The beneficial health effects of omega-3 fatty acids are related to their protection against cardiovascular disease, autoimmune disorders, diabetes, arthritis and arrhythmia. DHA has also been recognized as an essential nutrient in the brain and retina. However, the highly unsaturated nature of oils containing LCPUFA brings about oxidation and rancidity problems. Thus, use of antioxidants and novel processing techniques is necessary in order to allow their food applications. Omega-3 concentrates may also be produced and used as over-the-counter drugs or as nutraceuticals.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.857
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.050
GPT teacher head0.314
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it