The Impact of Particle Size in Cereal and Pulse Flours on Postprandial Glycemia and Appetite in Healthy Adults
Bibliographic record
Abstract
The hypothesis that decreasing particle size of oat and pea flours increases postprandial glycemia and decreases appetite and food intake was tested in healthy adults. Experiment 1 examined the effects of consuming a serving of porridge prepared using 40g of coarse, whole, fine, or commercial oat flour. Experiment 2 investigated the impact of eating 45g of crackers made with 25% of coarse, whole, or fine pea flour compared to 100% wheat flour. Blood glucose, insulin, and subjective appetite were measured over 140min and energy intake was assessed at an ad libitum pizza meal. Coarse and whole flour treatments led to lower blood glucose and insulin response, but the coarser oat flours were less effective at suppressing appetite, although resulting in no differences in food intake. Larger particle sized flours can be used to develop low-glycemic value-added products with improved nutritional quality and acceptability.
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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 | 0.001 |
| 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) | 0.002 | 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".