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The Effect of Micronization Operational Conditions on the Physicochemical Properties of Navy Beans ( <i>Phaseolus vulgaris</i> L.)

2003· article· en· W2172212336 on OpenAlexaff
G.G. Bellido, Susan D. Arntfield, Martin G. Scanlon, Stefan Cenkowski

Bibliographic record

VenueJournal of Food Science · 2003
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicProteins in Food Systems
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMicronizationPhaseolusChemistryWater contentMoistureFactorial experimentFood scienceChromatographyBotanyMathematicsParticle sizeOrganic chemistryBiologyGeotechnical engineering

Abstract

fetched live from OpenAlex

ABSTRACT Micronization conditions for processing navy beans were evaluated relative to micronizer outlet temperature, final moisture content, hardness, soluble protein, hydration capacity, and density using a full factorial experiment. Processing variables included conveyer bed slope (SL), setting of gas‐air mixture valve (GS) or gas/air ratio, and distance between conveyer bed and infrared radiation source (DS). As SL and the gas/air ratio increased, the final temperature of the micronized navy beans increased but bean moisture content was reduced. The percent soluble protein and hydration capacity also were reduced as SL increased. The contribution of DS to the characteristics of beans micronized under these conditions was minimal. Recommended conditions were best determined based on outlet temperature.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.003
Threshold uncertainty score0.347

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 science0.0010.000
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 head0.018
GPT teacher head0.226
Teacher spread0.208 · 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

Citations26
Published2003
Admission routes1
Has abstractyes

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