Incorporation of selected pulse flours into dried Asian white salted noodles
Bibliographic record
Abstract
This study was undertaken to determine the suitability of pulse flours in dried Asian white salted noodles and their effect on noodle quality and nutritional characteristics. Whole yellow peas, green lentils and navy beans were milled into flours of two different particle sizes, and incorporated into noodles at 25, 30 and 35% with Canadian Western Red Spring wheat flour. Compositional and functional analysis was performed on all flours. Pulse type, blend level and flour particle size all had an effect on noodle quality as determined by instrumental and sensory methods. The addition of pulse flours improved the nutritional profile of the noodles by increasing fibre and protein content. Dried and cooked noodle colour, as well as optimal cooking times, were affected by the addition of pulse flours. Differences in firmness were observed using instrumental texture analysis but were not detected in sensory analysis, however the sensory panel did detect differences in other textural and flavour characteristics.
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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 | 0.000 |
| 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) | 0.001 | 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".