World practice of wheat flour classification
Bibliographic record
Abstract
The paper presents a review of wheat classification accepted in various countries — producers of wheat and products of its processing (USA, Canada, Italy, France, Germany, China and others). Much attention is given to differences in the classification systems. Criteria for assigning wheat to certain classes based on physical and chemical properties of grain are examined. Differences in wheat classification by types, including morphological features and merits of grain such as size, color and gluten content, are highlighted. The authors discuss specific requirements and norms of wheat quality dictated by the regulatory authorities and requirements of the market of each country such as the mass fraction of moisture, content of impurities, density of grain and others. Based on the analysis of wheat classification in various world countries, it has been concluded that it is necessary to establish unified and generally accepted systems of wheat classification. This will allow simplifying international grain trade, make the market more transparent, strengthen trust between exporting and importing countries and will also facilitate the development of the international cooperation in the sphere of production and processing of wheat flour. Despite the wide assortment of flour confectionery products on the Russian market, baker’s flour of general purpose is mainly produced in the country. Its specific feature is a high content of flour from hard wheat varieties that are distinguished by higher protein content, strong gluten and large particle size. By its properties, this flour is not suitable for production of most flour confectionery products. Flour confectionery products produced from it are significantly inferior to import analogues in terms of their quality characteristics, which reduces their competitiveness. This dictates the need for the development of a standard for flour intended for production of confectionery products, which will include physico-chemical indicators for various flour types with consideration for their purpose.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.011 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.005 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".