Effects of barley cultivars, fractionation and cooking on its compositional, nutritional and textural properties
Bibliographic record
Abstract
The goal of this study was to promote barley as a healthy cereal for humans through improved understanding of how nutritional and functional properties are impacted by primary processing and genetic differences. Nine barley cultivars representing diverse genetics and commercial value were selected and pearled to various degrees to obtain four fractions: whole grain, commercial, pot and white pearled. The fractions were evaluated based on glycemic carbohydrate and dietary fiber composition, rate and extent of starch digestion in vitro, viscosity and textural properties. Variations in genotype and processing led to significant differences in nutritional properties. This was obvious between hulless waxy and normal barley in which the former had more [beta]-glucan and less total starch but exhibited higher starch digestion index and rapidly available glucose. Starch content and viscosity increased as pearling time was prolonged, but [beta]-glucan was fairly consistent in the fractions. The results demonstrate that choice of barley cultivar and primary processing are crucial in barley product development.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".