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Record W2489331589 · doi:10.1021/bk-2008-1001.ch032

Characterization of Gluten Proteins in Grain Flours by Liquid Chromatography-Tandem Mass Spectrometry Using a Quadrupole Time-of-Flight Mass Spectrometer

2008· book-chapter· en· W2489331589 on OpenAlexaff
Dorcas Weber, Benjamin P.‐Y. Lau, Samuel Benrejeb Godefroy

Bibliographic record

VenueACS symposium series · 2008
Typebook-chapter
Languageen
FieldMedicine
TopicCeliac Disease Research and Management
Canadian institutionsHealth Canada
Fundersnot available
KeywordsMass spectrometryChromatographyChemistryTandem mass spectrometryGlutenQuadrupole time of flightExtraction (chemistry)Wheat glutenFood science

Abstract

fetched live from OpenAlex

Grain flours from a local bulk food store were analysed using liquid chromatography Quadrupole-Time of Flight tandem mass spectrometry for the proteins in the ethanol soluble gluten fraction after extraction and enzymatic digestion. Glutens from wheat, rye, barley, and oat were readily identified using a database search of the MS/MS data. Prolamins were also detected in "gluten-free" flours such as rice and corn. Extracts of multi-grain mixtures were analysed and the major glutens present were easily identified.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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: Methods · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.008

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 head0.011
GPT teacher head0.234
Teacher spread0.223 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

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

Citations1
Published2008
Admission routes1
Has abstractyes

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