The Effect of Navy Bean Flour Particle Size on Carbohydrate Digestion Rate Measured in Vitro
Bibliographic record
Abstract
The consumption of navy beans (Phaseolus vulgaris L.) is associated with reduced cardiometabolic risk factors such as improved blood glucose control. Navy bean flours retain the nutritional benefits of navy beans, which are high in protein and fiber and low in fat and sugar. However, the particle size of navy bean flours can vary depending on the milling technology used. The purpose of this study was to investigate the carbohydrate digestion rate of navy bean flours with various particle sizes. Five samples each of raw and baked flours with the following volume-weighted mean particle sizes were studied by in vitro digestion using the Englyst method: coarse (1,101.6 μm), regular (630.7 μm), fine (301.7 μm), very fine (144 μm), and superfine (26.8 μm). An increase in the particle size of dry-milled navy bean flours was associated with a reduced in vitro carbohydrate digestion rate that was partially retained after baking and could be explained by the higher resistant starch and insoluble nonstarch polysacch...
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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".