Arsenic Contamination of Soils in the Vicinity of Abandoned Seongan Mine
Bibliographic record
Abstract
The heavy metal concentration analysis of soils was performed to study arsenic contamination around abandoned Seongan metal mine where mine tailings is estimated approximately 42,000 m3. It is resulted that total As concentrations of top soil and tailings at the dumping site were 736± 1,223 mg/kg and 911±453 mg/kg, respectively. These values relatively higher than EU and Canadian standards for industrial region. And soluble As concentrations of those the dumping site were 387±411 mg/kg and 146±109 mg/kg, respectively, that exceeded Korean apprehension and counterplan standards. And, As contamination of soils was partially identified adjacent to the dressing plant and along the down stream from the mine, while contamination by the other heavy metals was found to be insignificant. In this specific case, recycling of the removable tailings can be considered to take advantage of its large amount, site accessibility and substantial demand for adjacent cement manufacturing factories.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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 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".