Bibliographic record
Abstract
Erosion is process in which soil particles are separated from their bed and moved to another location with the help of transferor and deposited there.Today, erosion and sediment are of the major problems of different catchment basins in Iran and determining their extent is of the upmost importance.Empirical model of erosion has been developed for a specific area and it is necessary to calibrate it to use in the conditions except the place where it was provided.This study aimed to estimate the erosion and sediment of Shahzadeh Abbas catchment basin in Kerman Province.For this purpose, the hydrological model HEC-HMS (V.4) was used and the efficiency of Universal Soil Loss Equation (USLE) and Modified Universal Soil Loss Equation (MUSLE) was evaluated in the mentioned area.Finally, the results show that Modified Universal Soil Loss Equation (MUSLE) technique has good agreement to the observed data and reaches the overlap of 85%.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.968 | 0.922 |
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; both teacher heads agree on what is shown here.
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".