Use of ultrasound to discern differences in Asian noodles prepared across wheat classes and between varieties
Bibliographic record
Abstract
Diep, S., Daugelaite, D., Strybulevych, A., Scanlon, M., Page, J. and Hatcher, D. 2014. Use of ultrasound to discern differences in Asian noodles prepared across wheat classes and between varieties. Can. J. Plant Sci. 94: 525–534. Nine wheat varieties, five Canada Western Red Spring (CWRS) and four Canada Prairie Spring Red (CPSR), grown at the same locations and composited by variety, were milled to yield 65% extraction flours, which were used to form yellow alkaline raw and cooked noodles. The CWRS flours were ∼2% higher in protein content than the CPSR varieties, with varieties within each class exhibiting a wide range in dough strength as determined by Farinograph dough development time and stability. The ultrasonic velocity and attenuation of the raw noodles were measured at 40 kHz in disk-shaped samples, enabling the longitudinal storage modulus, loss modulus and tan Δ to be determined. Significant differences (P=0.05) between classes and within a class were found to exist for all ultrasonic parameters. In general, the CPSR varieties generated the highest storage moduli values, the lowest loss moduli, and the lowest tan Δ values, indicating this class/varieties exhibited a more elastic (firmer) raw noodle than the CWRS varieties even at a 2% lower protein content. A significant correlation, r=0.72,0.70, P=0.03, was also found between raw noodle velocity and M”, respectively, with cooked noodle bite as determined by maximum cutting stress.
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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 | 0.001 |
| 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".