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Whole Grain Food Standard System Construction Status and Development Direction

2024· article· en· W6943674387 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2024
Typearticle
Languageen
FieldNursing
TopicFood composition and properties
Canadian institutionsnot available
Fundersnot available
KeywordsWhole grainsProduction (economics)Raw materialWhole foodInternational standardStandard systemFood processing

Abstract

fetched live from OpenAlex

Existing studies have clearly demonstrated that people eating more whole grains have reduced risks of many chronic metabolic diseases compared to those eating less. In the past 20 years, the whole grain industry has developed so rapidly in major developed countries and regions. In recent years, whole grains have also attracted extensive attention in our country. The research and development efforts of the whole grain standards in China have been strengthened. This paper introduced the progress of the global definition consensus of whole grain and whole grain food, summarized the international development status of whole grain raw materials and whole grain food related standards in many countries and institutions, such as the Working Group of ISO Whole Grain, the United States, Canada, the Netherlands, Codex Alimentarius Commission, and so on. This paper also reviewed the present situation of definition of the whole grain and whole grain food related standards in China. More than 20 relevant raw materials, food related standards and production technical regulations and the publishment situation of other whole grain standards in China, including national standards and industry standards and local standards and group standards, were summarized, and some whole grain related standards under formulation were also introduced. Finally, the paper puts forward the development direction and suggestions for the construction of whole grain standard system in China, including fully combining with the actual production situation of China’s whole grain food industry, integrating with international standards, and combining standard testing and certification. On the whole, the gradual improvement of the standard system of the whole grain food industry will help guide and regulate the high-quality and healthy development of the whole grain industry in China, and promote the creation of a diversified and healthy grain food ecology, and provide a technical basis for the development of the whole grain industry.

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)0.016
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.063
Threshold uncertainty score0.126

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0050.005
Science and technology studies0.0020.002
Scholarly communication0.0050.006
Open science0.0030.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.002

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 head0.152
GPT teacher head0.471
Teacher spread0.319 · 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 designNot applicable
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

Citations0
Published2024
Admission routes1
Has abstractyes

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