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Record W3183641790 · doi:10.1002/leg3.117

Physico‐chemical and functional properties of legume protein, starch, and dietary fiber—A review

2021· article· en· W3183641790 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLegume Science · 2021
Typearticle
Languageen
FieldNursing
TopicFood composition and properties
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsLegumeDietary fiberIngredientFood scienceFunctional foodFood industryHealth benefitsStarchBiotechnologyChemistryBusinessBiologyBotanyMedicineTraditional medicine

Abstract

fetched live from OpenAlex

Abstract Legumes have gained increased dietary importance in recent years due to their recognized health benefits. Recent plant protein revolution has elevated legumes to the forefront from consumers' and food industry's perspective. Unlike cereal proteins and starches, there is a scarcity of information on the structural properties of legume starches. Consumption of legume‐derived dietary fibers have a positive impact on the human health, in particular, gut health, which is a current research focus for nutrition and health professionals. Knowledge of legume ingredients properties (e.g., protein denaturation, starch gelatinization, pasting, and thermal properties) could aid in understanding functionality and potential uses of these materials. The physicochemical, thermal, and the functional properties of legume proteins, starches, and dietary fibers are elucidated. Both the food ingredient manufacturers and research and development professionals in the food industry can benefit from the information provided in this review article.

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.

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)0.000
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 score0.031
Threshold uncertainty score0.354

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.036
GPT teacher head0.248
Teacher spread0.212 · 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