Analysis of drinking water quality monitoring results in a district of Guangzhou from 2004 to 2008
Bibliographic record
Abstract
Objective To investigate the sanitary situation of the drinking water in a certain district of Guangzhou and provide scientific basis for strengthening the supervision and management of drinking water supply.Methods Samples of the terminal tap water and the second water supply were analyzed by statistics from 2004 to 2008.The detective indicators included turbidity,total number of bacteria,total large intestine and chlorine. Results The total qualification rate was 41.45% for terminal tap water,and 31.21% for the second water supply.The annual qualification rate was raised.The total qualification rate of terminal tap water was higher than that of the second water supply.The total rates and the distribution of the qualified projects were same.The qualification rate of the quarters was significantly different,while the second and third quarter was 23.30% and 20.00%,respectively.The qualification rate of total bacteria was consistent in each quarter.The qualification rate of free residual chlorine in the second water supply was obviously lower than that in the terminal tap water.Conclusions The total qualification rate of the drinking water was raised year by year,but still low,with difference among the quarters.It should be enhanced for monitoring and guarding the quality of the drinking water.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| 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) | 0.001 | 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".