Comparative analysis of management models for disinfected tableware (drinking utensils) at home and abroad
Bibliographic record
Abstract
ObjectiveTo compare the management models for disinfected tableware （drinking utensils） in countries and regions such as the United States， Canada， Australia，European Union， Japan and China. Analyze the similarities and differences in the management models for disinfecting tableware （drinking utensils） among these countries to provide references and basis for the risk management of disinfected tableware （drinking utensils） in our country.MethodsCollect laws， regulations and guidelines related to the disinfection disinfected tableware （drinking utensils） from various countries and regions， sort out and analyze the requirements for cleaning and disinfection procedures of disinfecting tableware （drinking utensils）， and compare the similarities and differences.ResultsAll countries have standardized requirements for the cleaning and disinfection process of tableware（drinking utensils），as well as the use of disinfectants. Except for China， no other countries have set limits on microbiological and physicochemical indicators for disinfected tableware.ConclusionIt is suggested to further improve the relevant standards for disinfected tableware （drinking utensils） in China， strengthen the promotion and improvement of standards for disinfected tableware （drinking utensils），enhance supervision and regulatory measures， and strengthen the awareness of corporate responsibility， in order to promote the healthy development of the catering service 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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".