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Physical and Sensory Characteristics of Reduced‐Fat Breakfast Sausages Formulated With Barley β‐Glucan

2002· article· en· W1999752418 on OpenAlexaff
Laurent Morin, Feral Temelli, Lynn M. McMullen

Bibliographic record

VenueJournal of Food Science · 2002
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMeat and Animal Product Quality
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsFood scienceGlucanFat substituteBeta-glucanChemistryDietary fiberHealth benefitsSensory analysisTotal fatDietary fibreBiochemistryMedicine

Abstract

fetched live from OpenAlex

ABSTRACT: Barley β‐glucan, a soluble fiber component, with health benefits, has the potential to be used as a fat replacer in meat systems. Reduced‐fat (12%, w/w) sausages formulated with β‐glucan at 0.3% (w/w) (0.3 β‐gl) and 0.8% (w/w) (0.8 β‐gl) levels were developed and compared to high‐and reduced‐fat controls both sensorially and instrumentally. Compression tests showed 0.3 β‐gl to be similar ( p > 0.05) to controls. A trained panel found 0.8 β‐gl to be less firm ( p ≤ 0.05) than all others, while consumer panelists evaluated 0.3 β‐gl sausages to be acceptable. Raw and cooked sausages contained the same amount of β‐glucan. Findings suggest that reduced‐fat sausages formulated with β‐glucan gum could be a valuable addition to a meat product line.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.633
Threshold uncertainty score0.147

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 head0.045
GPT teacher head0.247
Teacher spread0.202 · 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

Citations72
Published2002
Admission routes1
Has abstractyes

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