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Record W2009345804 · doi:10.1351/pac200173040685

Lexicon of lipid nutrition (IUPAC Technical Report)

2001· article· en· W2009345804 on OpenAlexaff
J.L. Beare-Rogers, A. Dieffenbacher, John Holm

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.096
Threshold uncertainty score0.320

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0130.018
Science and technology studies0.0010.001
Scholarly communication0.0070.004
Open science0.0020.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0960.148

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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations259
Published2001
Admission routes1
Has abstractyes

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