Fundamental Study on Assessment of Soil Erosion by the USLE Method at Rehabilitation Area in Indonesian Coal Mine
Why this work is in the frame
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Bibliographic record
Abstract
Mining operation of open cut mines gives serious impacts on the surrounding environments. Therefore, an appropriate rehabilitation program has to be taken into consideration. Soil erosion is one of the major environmental problems in open cut mines in tropical regions. The soil erosion leads to unsuccessful rehabilitation due to topsoil losses. In order to succeed rehabilitation, the condition of soil erosion in the rehabilitation area has to be predicted accurately. As one of an efficient method for prediction of soil loss, Universal Soil Loss Equation (USLE) is the most widely used method of predicting soil loss in forestry. However, when considering the application of this equation in rehabilitation area, a sufficient consideration is needed because the condition of these areas is very different from that of forestry. This paper describes the reliability to predict soil erosion in rehabilitation area by means of USLE, and discusses the several considerations on soil erosion.
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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 | 0.014 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it