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Record W2019857263 · doi:10.1094/cfw-59-1-0005

Einkorn: A Functional Wheat for Developing High-Lutein Whole Grain Baked Products

2014· article· en· W2019857263 on OpenAlexaff
E.-S. M. Abdel-Aal, Pierre Hucl

Bibliographic record

VenueCereal Foods World · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicWheat and Barley Genetics and Pathology
Canadian institutionsUniversity of SaskatchewanAgriculture and Agri-Food Canada
Fundersnot available
KeywordsLuteinWhole grainsFood scienceAgricultural engineeringBusinessAgronomyBiologyEngineeringCarotenoid

Abstract

fetched live from OpenAlex

Einkorn (Triticum monococcum L.) is an ancient hulled wheat that has the simplest genetic makeup among domesticated wheat species. It has a soft endosperm with a high protein content and yellow pigments with unique nutritional profiles. Einkorn flour has a wide range of quality characteristics that are similar to durum and common wheat flours. In general, it has poor bread baking quality but does have cookie and muffin baking qualities that are comparable to modern soft and hard wheats. Einkorn contains the highest levels of lutein among wheat species, accounting for ≈77–83% of the total carotenoid content, followed by zeaxanthin at 9–13% of the total carotenoid content. Einkorn whole grain flour alone or blended with corn flour or a lutein supplement was processed into cookie, muffin, and yeast-free flatbread formulations. Studies of lutein stability showed a sharp decline in the three baked products. Despite significant lutein losses, the lutein-fortified whole grain baked products contained ≈1.1–1.3 mg...

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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
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)0.0020.001

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 head0.032
GPT teacher head0.222
Teacher spread0.189 · 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

Citations13
Published2014
Admission routes1
Has abstractyes

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