Optimizing the Bioactive Potential of Oat Bran by Processing
Bibliographic record
Abstract
Oats have attracted consumer, research, and commercial interest due to the health benefits associated with their consumption. β-Glucans are major dietary constituents in oats that have been linked to reduced serum cholesterol concentrations in humans, and foods containing oats are allowed to carry a health claim related to the ability of the soluble fiber in oats to reduce the risk of heart disease. However, to receive the recommended amount of β-glucans (3 g/day) from whole oat groats may require consumption of large quantities of oat products. Thus, the production of oat fractions enriched with higher levels of β-glucans is desirable. The most common commercially available oat product with an increased concentration of β-glucans is oat bran. In addition to higher concentrations of β-glucan, other physical and physicochemical properties of oat bran preparations should be considered as part of their production to achieve the optimal and expected health benefits from consumption of such products. Conventio...
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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 | 0.001 |
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.
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".