Current Situation Analysis and Recommendations for Microbial Indicators and Limit Requirements in the Standard of Refrigerated Cooked Rice and Wheaten Products in China
Bibliographic record
Abstract
Refrigerated cooked rice and wheaten products (RCRWPs) as refrigerated industrial foods have developed rapidly in recent years. Since the industry standard of these products is absent at present, it is necessary to establish the regulation system urgently. The high microbial risk of RCRWPs due to their edible characteristics and preservation. In this case, microbial criteria and limits should be emphasized when the standards are established. In the current research, the selections of the microbial criteria, such as total bacterial count, indicator bacteria and pathogenic bacteria in RCRWPs, residue levels and detection regulations are analyzed by comparing the current industry standards, local standards in the field of RCRWPs, the standards and regulations of the International Commission on Microbiological Standards For food, and the Codex Alimentarius in the European Union, the United States, Canada, the United Kingdom, Australia and New Zealand. The related recommendations are provided in this research as well. The outcomes would support the development of the standards of RCRWPs in China.
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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 | 0.007 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".