Evaluation of Quality Charactertistics of Porridge from Kodo and Little Millet
Bibliographic record
Abstract
Small millet based porridge was standardized by incorporating kodo and little millet flour at 50, 75 and 100 per cent levels. The optimized porridge was evaluated for its sensory attributes and was highly acceptable at 100 per cent level. The optimized small millet porridge was analyzed for its physico-chemical properties, rheological and cooking characteristics using standard procedures. The water activity of kodo (T1 ) and little millet (T2 ) flour was lower (0.39 and 0.45 aw ) and sedimentation value (25.00 and 18.00 ml) was higher than the control (0.61a w and 0.21 ml). The final viscosity and pasting temperature of T 1 and T 2was 1363.00 and 1124.00cP, 80.34 and 80.32oC respectively. The gelatinization temperature for T1 and T2was 79 oC and 76oC and the time taken was 5 mins. The protein, fibre, iron and calcium content of T 1was 8.12 g, 8.20 g, 1.40 mg and 24.00 mg and that of T2was 7.30 g, 7.25 g, 8.60 mg and 16.10 mg per 100 g respectively. The microbial load was found to be within the safe limit.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".