EXAMINATION OF THE BOTTLED PURIFIED DRINKING WATER IN NANJING DURING 2004-2005
Bibliographic record
Abstract
[Objective]To understand the hygienic quality of bottled purified drinking water in Nanjing.[Methods]The examination results of 214 bottled purified drinking water samples in Nanjing from 2004 to 2005 were summarized and analyzed.[Results]There were no statistical differences in the qualification rates of samples gathered from both different origins and different quarters,but multiple factors were unqualified in the supervision samples and samples from the second and third quarter.The qualification rate in 2005 was significantly higher than that in 2004.[Conclusions]Although the overall sanitary situation of the bottled purified drinking water in Nanjing has been better,the surveillance and management of market circulation and production link in high temperature quarter should be strengthened.And the hygienic control of the microorganism and purification module should be reinforced.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".