Bibliographic record
Abstract
In order to investigate the effect of waxy wheat flour on staling of bread,waxy wheat flour was added into Canadian Spring wheat flour at 0.0%,5.0%,10.0%,15.0%,20.0%,25.0%,30.0% and 35.0% to produce breads.The physicochemical properties were adjusted to suitability by adding of Yangmai 158 flour,and breads were evaluated for sensory quality and loaf volume,crumb firmness and weight over a period of 0,2,4 and 6 days.The results showed that adding of waxy flour gradually decreased the quality of bread according to the increasing of waxy flour proportion,though there was no significant difference among blends within 15.0% waxy flour.Breads with 10.0%-30.0% waxy flour had lower firmness and loss of volume and weight.So 15% waxy wheat flour blend was optimal in retarding staling without significant decreasing fresh bread quality compared to the control.
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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 | 0.000 |
| 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) | 0.000 | 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".