Effect of Dough Resting Time on the Textural Properties of Raw Asian Noodles
Bibliographic record
Abstract
Literature on the subject of changes in textural properties of Asian noodle dough with resting time is nonexistent but may be of use to other researchers who work with small and limited samples. Working with the same noodle sheet over a period of several hours would allow for testing new processing methods, or evaluating current ones while making efficient use of time and flour samples. Raw noodles were prepared from flour milled from Canadian Western Hard White (CWHW) wheat (AC Snowbird). A texture profile analysis (TPA) was conducted at intervals of 20 min up to a total of 200 min. Adhesiveness was the only textural property that was not significantly affected by resting time (p > 0.05). There was some variability in the textural properties of hardness, springiness, and chewiness, but in most cases there were no discernable trends. The exception was for cohesiveness, which was approximately equal for the first 60 min of resting time. There was then a decrease in cohesiveness for the last 140 min of testing. Most of the change in textural properties was probably due to day to day variation in noodle dimensions.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".