The impact of heavy metals from coal mine-spoil heaps on soil
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
The pollution of heavy metals from coal mine spoils piled perennially in diggings soil in Huainan where have been exploited for more than 100 years was studied. Soil samples were collected from 7 sections near spoil heaps from different coal mine region with a variety of mining history. Heavy metals(Cu、Ni、Pb、Zn、Sn、Cr、Co)in samples were analyzed by IRIS Intrepid Inductively coupled plasma-atomic emission spectrometry(ICP-AES) instrument in Institute of Soil Science, CAS, and the certified sample(LKSD-1) from Canada was used for analytical quality control and its results are valid with respect to accuracy and precision. The contribution of heavy metals in soil was mainly caused by the weathering and leaching of coal mining spoils, which show that the soil near heaps were polluted and the content of its metals was also accumulated. The difference of long-term accumulation and mobility of individual metal was clearly illustrated through the gradually reduce trend of their concentration in soil samples from mine districts with different mining history from 100 years to 25 years. Cu、Co、Zn、Ni、Pb appeared stronger mobile from spoils in the research mine area and their contents in several soil sections were more than the first level of national pollution standard of soil, but all metals were lower than the second, Environmental Protection Agency of China. It means that the mobility of heavy metals from spoils transferring to soil is a slow procedure.
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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 | 0.001 | 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 | 0.000 | 0.005 |
| 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 it