Influence of Added Soy Presscake and Soy Flour on Some Physical and Sensory Properties of Corn Tortillas
Bibliographic record
Abstract
, were determined instrumentally. Physical properties such as size, thickness, and rollability, were also investigated. A consumer acceptance test was conducted to evaluate the acceptance of tortillas at high levels of soy fortification (35% SF and 40% SP). Tortillas fortified with soy were found to be smaller and thicker with increased firmness and cohesiveness. Tortillas made with SF showed the poorest rollability, and were almost unrollable at high SF fortification levels (30% and 35%). Soy fortified tortillas were more red and yellow than control corn tortillas. In the consumer acceptance test, 40% SP and 35% SF had high overall acceptability scores (6 to 6.6 on a 9-point scale) based on all participants (n = 76). In addition, overall flavor and texture of both soy fortified corn tortillas scored above 6. Thus, while fortification with SP and SF had significant effects on tortilla size, thickness, firmness, cohesiveness, rollability, and color, these changes were acceptable to consumers.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".