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Record W2110308244 · doi:10.5539/jas.v5n4p75

Fatty Acid Composition of Flax Sprouts

2013· article· en· W2110308244 on OpenAlexvenueno aff
Satya S Narina, Anwar A. Hamama, Harbans L. Bhardwaj

Bibliographic record

VenueJournal of Agricultural Science · 2013
Typearticle
Languageen
FieldMedicine
TopicPhytoestrogen effects and research
Canadian institutionsnot available
FundersNational Institute of Food and AgricultureU.S. Department of Agriculture
KeywordsLinumCultivarLinoleic acidLinolenic acidPolyunsaturated fatty acidFatty acidFood scienceComposition (language)ChemistryHorticultureBiologyBotanyBiochemistry

Abstract

fetched live from OpenAlex

The oil and fatty acid profile of flax (Linum usitatissimum) sprouts and seed were compared to determine nutrition potential of sprouts. Equal quantities of seed from three flax cultivars (Rahab-94, Pembina and Linott) were sprouted twice in three replications and were analysed for oil and fatty acid contents during summer 2011. Three flax cultivars were observed with high oil content on dry weight basis in sprouts (15.9%) and seeds (33.99%). Significant variations (P0.05) variation among three cultivars was observed. The percentage of PUFAs in cultivars Pembina and Linott was 68.7 and in Rahab-94 was 67.7. The percentage of linoleic acid (C18:2) was significantly high in sprouts (19.51%) compared to seed (17.7%). The percentage of linolenic acid (18:3) was high in seed (52.8%) compared to sprouts (48.8%). The ratio of PUFA/SFA in sprouts was high in Pembina (6.97%) and Linott (6.82%) compared to Rahab-94 (6.38%). The fatty acid profile was similar in all the three cultivars with significant (P

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 score0.009
Threshold uncertainty score0.017

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 head0.015
GPT teacher head0.292
Teacher spread0.277 · 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

Citations2
Published2013
Admission routes1
Has abstractyes

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