Mercury content in mining waste and its effect on the surrounding environment (Case study: Small-scale gold mining locations-West Sumbawa)
Bibliographic record
Abstract
Abstract This study was conducted to determine the content of mercury in the flowing river around small-scale gold mines. Mining wastes from the run of mining are dumped into the watersheds and potentially contaminate the water and sediment in the watershed near the gold mining area. We analyzed the characteristics of the waste and the result was compared with the water quality standards (Environment Minister Decision No.202 of 2004 and Government Regulation No.82 of 2001) and sediment quality standard (the Canadian sediment quality guidelines for the threshold effect level (TEL) and probable effect level (PEL)). We found that wastewater from the gold mining areas was categorized in class IV. The mercury content in the sediment samples did not meet the standards of Canadian sediment quality guidelines for TEL. The content of mercury in the sediment samples from the gold mine site was very high. The sediment mercury samples had been settled for a long time around the watershed. The content of mercury in the mining location indicated that mercury had been contaminating the area around the small-scale gold mining.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".