Rheological Properties of Dough and Quality of Salted Noodles Supplemented with Djulis (Chenopodium formosanum Koidz.) Flour
Bibliographic record
Abstract
Djulis (Chenopodium formosanum Koidz.) has attracted attention worldwide for its nutritional value and health benefit. To examine the potential application of djulis flour in oriental starch-based staple products, we supplemented wheat flour with djulis flour in different proportions to investigate the rheological properties of dough and determine the sensory and textural profile of salted noodles. For dough characteristics measured by farinography and extensography, increased amount of djulis flour decreased the departure time, stability, arrival time and extensibility of dough, but increased the maximum resistance to extension. The cooking loss and hardness of salted noodles increased with increased amount of djulis flour. However, the overall sensory acceptability did not differ between salted noodles with djulis flour and controls (p < 0.05). In conclusion, djulis flour could be proportional incorporated into wheat flour and have a positive influence on salted noodle sensory quality.
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".