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Record W2176954998 · doi:10.1094/cc-83-0284

Comparison of Methods for Gluten Strength Assessment

2006· article· en· W2176954998 on OpenAlexaff
C. S. Gaines, Judith Frégeau Reid, Chandra Kant, Craig F. Morris

Bibliographic record

VenueCereal Chemistry · 2006
Typearticle
Languageen
FieldMedicine
TopicCeliac Disease Research and Management
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsGlutenChemistryWheat flourFood scienceWheat glutenChromatography

Abstract

fetched live from OpenAlex

ABSTRACT Five methods that employed very different testing principles and procedures for assessing gluten quality were compared for 33 North American soft red and white wheats. The three methods analyzed flour (alveograph work, lactic acid solvent retention capacity, and mixograph peak time) and two methods employed ground wheat meal (Glutomatic gluten index and SDS sedimentation volume). Compared against the normalized mean of all five assessments, the ability of the assessment methods to evaluate gluten quality decreased in the order: alveograph work, lactic acid solvent retention capacity, mixograph peak time, Glutomatic gluten index, and SDS sedimentation volume. The methods utilizing flour were substantially superior predictive methods; however, the two meal‐based methods could be sufficient for early generation screening when flour is not available.

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)0.000
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: none
Teacher disagreement score0.614
Threshold uncertainty score0.307

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 studies0.0000.000
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 head0.046
GPT teacher head0.497
Teacher spread0.451 · 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

Citations39
Published2006
Admission routes1
Has abstractyes

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