Nutrients, Nutraceuticals and Bioactive Properties of Multi-Whole Grain Mix for Drink and Porridge
Bibliographic record
Abstract
Whole grains are reported to be rich in nutrients, nutraceuticals and have number of health beneficial effects. A convenient multi-whole grain mix for the preparation of a drink or porridge was formulated by using cereals, millets, pulses and nuts. Particle size was mostly of 180-250 microns (52%). Amylograph characteristics like GT, PV, HPV, CPV were 82°C, 285BU, 310BU, and 605BU, respectively were ideal for drink. The mix was found to be rich in carbohydrate, protein, fibre and calorie. The 100g of the mix had nutraceuticals like carotenoids (290µg), γ-tocopherol (4.6mg), α-tocopherol (1.5mg), and polyphenols-soluble, bound and total (94,132 and 226mg GA Eq.). Bioactive properties like vitamin E activity, free radical scavenging activity, total antioxidant activity and starch digestibility were 2.6i.u., 153mg catechin.Eq./100g, 17mg Tocopherol equivalent and 61.8%. Mix was sensorily acceptable in the form of drink and porridge and can be used as an ideal nutritious food for all age group.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".