MétaCan
Menu
Back to cohort
Record W2766123260 · doi:10.1094/cfw-62-5-0208

The Effect of Navy Bean Flour Particle Size on Carbohydrate Digestion Rate Measured in Vitro

2017· article· en· W2766123260 on OpenAlexaff
Bohdan L. Luhovyy, Andrew Hamilton, Priya Kathirvel, Heba Mustafaalsaafin

Bibliographic record

VenueCereal Foods World · 2017
Typearticle
Languageen
FieldNursing
TopicFood composition and properties
Canadian institutionsMount Saint Vincent University
Fundersnot available
KeywordsDigestion (alchemy)CarbohydrateIn vitroFood scienceNavyChemistryParticle sizeBiochemistryChromatographyGeography

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.093
Threshold uncertainty score0.413

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.021
GPT teacher head0.270
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations18
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueCereal Foods WorldSame topicFood composition and propertiesFrench-language works237,207