A finer screening of wheat cultivars based on comparison of the baking potential of whole‐grain flour and white flour
Bibliographic record
Abstract
Summary Between 2007 and 2009, 160 wheat samples were harvested at four growing locations in Quebec (Eastern Canada) and evaluated individually for their performance in whole‐grain bread (all grain fractions) and white bread prepared with a long‐fermentation process (3 h). Combination of results from both baking tests allowed the most complete evaluation of the gas retention capacity of wheat samples. Compared to cultivar and crop year, growing location had a minor effect on the overall bread making potential of wheat samples. In whole‐grain bread, the four winter wheat lines had a poorer performance than the twenty‐one spring wheat cultivars. Little correlation was seen between dough mixing stability and gas retention properties. Determination of strong gluten content (dry gluten × gluten index) might be a useful screening tool for early‐generation wheat cultivars.
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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 | 0.001 | 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".