Evaluation of Physico-Chemical Properties of Cookies from Little Millet
Bibliographic record
Abstract
Millet based cookies were standardized by incorporating little millet flour at 25, 50 and 75% levels. The developed cookies were evaluated for its sensory attributes and were highly acceptable at 50% level. The developed products were analyzed for their physico-chemical properties using standard procedures. Incorporation level of little millet flour in cookies on the physical characteristics such as spread ratio, weight and moisture content increased. The substitution of little millet flour increased the yellowness index and decreased the whiteness index. Cutting force increased whereas firmness decreased due to incorporation of little millet flour. The fibre and iron content of the little millet cookies was 3.95g and 4.43mg respectively and was higher than the control cookies. The shelf life of the product was better in plastic containers (600gauge-P2) than poly propylene bags (200gauge-P1) upto 15 days and the microbial population was within the safer limit during the storage period.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.000 | 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".