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Record W4282838419 · doi:10.1080/09637486.2022.2086974

The nutritional quality of wholegrain and multigrain breads is not necessarily better than white breads: the case of gluten-free and gluten-containing breads

2022· article· en· W4282838419 on OpenAlexaff
Fatma Boukid, Cristina M. Rosell

Bibliographic record

VenueInternational Journal of Food Sciences and Nutrition · 2022
Typearticle
Languageen
FieldMedicine
TopicConsumer Attitudes and Food Labeling
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsFood scienceGlutenGluten freeDietary fibreSugarAdded sugarNutraceuticalChemistry

Abstract

fetched live from OpenAlex

Despite the importance of breads through the history, the wide range of options might lead to a choice dilemma from health-conscious consumers when purchasing bread. In this study, commercial white, wholegrain and multigrain regular breads, sold in Europe, were collected, and classified into gluten-free and gluten-containing categories. For gluten-free-breads, no significant differences were found in energy, saturated fatty acids, sugar, fibre and salt between white and wholegrain breads regardless of the mention "multigrain." For gluten-containing, carbohydrates and fibres differed between white and wholegrain breads, while when considering multigrain presence all the nutritional composition varied significantly. Nevertheless, the mentions wholegrain and multigrain on gluten-free and gluten-containing breads do not guarantee a better nutritional quality compared to white bread. Gluten-free breads showed increased fibre, and decreased carbohydrates, sugar and energy which are comparable to gluten-containing wholegrain breads. This underlines the improvement of gluten-free breads and suggests further investigations to increase protein content.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.281
Threshold uncertainty score0.336

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.038
GPT teacher head0.327
Teacher spread0.289 · 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 designObservational
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

Citations8
Published2022
Admission routes1
Has abstractyes

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