Optimization of the malting process for nutritional improvement of finger millet and amaranth flours in the infant weaning food industry
Bibliographic record
Abstract
Malting is a beneficial approach to improve the nutritional value of cereals used in infant preparations. Malted finger millet and amaranth might be considered as potentially appropriate gluten-free alternatives for common wheat-based weaning products, especially in case of those suffering from celiac disease. In this study, the effects of germination temperature and duration on the main nutrients of malted finger millet and amaranth, are evaluated and optimized. Grains were germinated for 24, 36 and 48 h at 22, 26 and 30 °C. In the case of finger millet, germinating for 48 h at 30 °C resulted into 17% increase in protein availability, 10% increase in total energy and 60% reduction in resistant starch (RS). For amaranth, germinating for 48 h at 26 °C was preferable, resulting in 8% increase in protein availability, 11% increase in total energy, 70% reduction in RS and a 10% increase in the linoleic acid.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".