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Record W2004049794 · doi:10.5539/jfr.v1n3p46

Profiles of Fatty Acid Distribution of Different Acyl Lipids from Red and Black Rices

2012· article· en· W2004049794 on OpenAlexvenueno aff
Hiromi Yoshida, Yuka Tomiyama, Yoshiyuki Mizushina, Naoko Yoshida

Bibliographic record

VenueJournal of Food Research · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGABA and Rice Research
Canadian institutionsnot available
Fundersnot available
KeywordsComposition (language)Fatty acidChemistryBiochemistryFood scienceBiology

Abstract

fetched live from OpenAlex

The present study is focused on the variation in fatty acid (FA) composition of the different acyl lipids in red and black rices. Total lipids were fractionated by TLC into eight subfractions. Significant differences (P < 0.05) in FA distribution were found among the different acyl lipids when the two cultivars were compared. There were no significant differences (P > 0.05) in the positional distribution of FA in triacylglycerols; unsaturated FA was predominantly concentrated in the sn-2 position while saturated FA primarily occupied the sn-1 position or sn-3 position in the oils. Significant differences (P < 0.05) in FA distribution existed when the individual phospholipids were compared. Based on the FA composition of the different acyl lipids, it seems that red and black rices are very similar to each other with a few exceptions. The results suggest that these rice lipids may be well incorporated into our daily diet to improve value of the Japanese diet.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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

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 head0.095
GPT teacher head0.335
Teacher spread0.241 · 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 designBench or experimental
Domainnot available
GenreEmpirical

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

Citations4
Published2012
Admission routes1
Has abstractyes

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