SAFETY EVALUATION OF RURAL DRINKING WATER SOURCES IN NANG COUNTY, TIBET AUTONOMOUS REGION OF CHINA
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper evaluates the quality of drinking water sources of 9 villages in Nang County, Tibet Autonomous Region (TAR) of China using the water quality index (WQI) model of the Canadian Council of Ministers of the Environment (CCME), and verifies the evaluation results by the comprehensive pollutant index (CPI) method. The results show that CCME WQI and CPI have outputted similar rankings, and the results of the two methods have high Spearman's rank correlation coefficient. This means CCME WQI is a feasible way to evaluate the safety of rural drinking water sources. CCME WQI evaluation shows that the water qualities in the 9 villages satisfy the requirements on drinking water.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it