BAKED ALFREDO PASTA BY BLEND OF SOYBEAN FLOUR, ALL PURPOSE FLOUR AND SAMOLINA FLOUR
Bibliographic record
Abstract
Pasta nowadays is a very common dish among young people. Mostly people do not take it, as they are gluten allergic. On the other hand, adults think that its not a healthy dish to eat so to make it nutritive and gluten free research is conducted. This research study was conducted to a healthy, tasty and allergic free dish. In this study, Wheat flour is replaced by soy flour. We incorporated soy flour in different levels to check the effect on dough, 100% soybean produce a very hard dough which was not desirable then 80%,75%,70% blends were made with combination of samolina and finally the perfect dough was formed by the blend of soy flour semolina and all purpose flour for desired pasta then pasta was analyzed for hedonic and quality parameters. Twenty different people of our department tasted pasta, different parameters were selected and all 20 members rate it with 99% acceptance. Hedonic and appearance evaluation indicate that good quality Alfredo pasta can be prepared by substituting wheat flour with soy flour because of its nutritional properties. Soy flour is a vegetarian source of omega 3 fatty acids and also rich in fiber, vitamins and minerals.
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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 | 0.000 | 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".