Whole Grain Gluten-Free Vegetable Spicy Snacks
Bibliographic record
Abstract
Four kinds of spicy snacks (gluten-free, whole grains with fresh vegetables, low in fat, sugar and salt) were evaluated. Acceptance of spicy snacks tested was Carrot-Garlic 77%, Broccoli-Garlic 68%, Spinach-Garlic 61% and Red Onion 53%. This is the first report of spicy gluten-free, 50% vegetable snacks, which offer a nutritional snack choice for all and an option for gluten sensitive individuals. In addition, it offers spicy snacks that would encourage low fat, sugar and salt foods more palatable and increased health promoting vegetable consumption. The snacks reported herein can be prepared in any house kitchen and/or commercial production. These crispy snacks would have desirable microbial stability resulting in longer shelf life. Each 30 g serving of these healthy chips would provide 1.2-1.3 g of dietary fiber. Currently available chips in the market contain up to twice as much salt as the chips reported herein. These gluten-free vegetable spicy chips could be considered good source of dietary fiber and potassium.
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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 | 0.000 |
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".