Use of Pulse Ingredients to Develop Healthier Baked Products
Bibliographic record
Abstract
With growing interest in formulating more nutritious ready-to-eat foods, the food industry is looking for alternative ingredients that can deliver enhanced nutrition and functionality. Pulses are high in protein, dietary fiber, minerals, and vitamins and low in fat, making them ideal ingredients for use in baked goods. Partial substitution of pulse flours for wheat flour in baked goods is possible, although modifications to the formulation and/or processing conditions may be necessary to achieve desired end-product quality. For products such as tortillas, pita breads, and crackers, studies showed it was possible to incorporate pulse flours at levels between 20 and 30%. Depending on the level of substitution, the total dietary fiber content can be significantly increased, which would allow a fiber claim. Studies that examined the addition of various types of pea fiber fractions showed it is possible to enhance the nutritional profile of bagels without significantly affecting end-product quality. Pulse flou...
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".