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Record W2009345804 · doi:10.1351/pac200173040685

Lexicon of lipid nutrition (IUPAC Technical Report)

2001· article· en· W2009345804 on OpenAlex

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

VenuePure and Applied Chemistry · 2001
Typearticle
Languageen
FieldChemistry
TopicAnalytical Chemistry and Chromatography
Canadian institutionsOkanagan College
Fundersnot available
KeywordsChemical nomenclatureChemistryTable (database)Product (mathematics)CommissionAgricultureCorrectnessFood scienceComputer scienceOrganic chemistryMathematicsDatabasePolitical scienceHistoryLawAlgorithm

Abstract

fetched live from OpenAlex

Abstract The intertwining of lipid nutrition with many other disciplines makes contributions from different directions imperative. Chemistry, biochemistry, physiology, food science and technology, industrial processing, and consumer acceptance provide concepts and terms used in lipid nutrition. This document is the product of a working group comprising members of the Committee on the Biological Role of Fatty Acids in Human Nutrition of the International Union of Nutritional Sciences and of the Commission on Oils, Fats, and Derivatives of the International Union of Pure and Applied Chemistry. Shorthand formulas and systematic and trivial names of some biologically important fatty acids are given in Table 1 (saturated fatty acids), Table 2 (monoenoic fatty acids), and Table 3 (polyenoic fatty acids). Fatty acid compositions of foods have been based on the data of the USDA reference that means official grade standards for agriculture of the U.S. Department of Agriculture. Because foods may show large variations in their composition the figures in the annexed tables serve as guidelines only, except those of the Codex alimentarius (Tables 4 and 5), where accepted ranges of the figures are reported. Further, as these standards are in constant revision the reader may contact directly the USDA Agriculture Marketing Service for the last editions of these standards. It is evident that the explanation of the referred terms is a compromise between technological and scientific correctness and the readers' lack of interest in many of the details. But, sometimes a more exhaustive explanation is necessary. Further information then may be found in cross references, although they have been reduced to those of utmost necessity. Terms in the text where cross references are available are printed in boldfaced type. As research and science are progressing and knowledge is increasing, consequently, views on certain nutritional aspects are constantly changing, e.g., the role of essential fatty acids in human nutrition. Therefore, such a work will never be complete, and readers are invited to send their comments and observations to the authors for incorporation into a next edition.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.325
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.233
Teacher spread0.226 · 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