Influence of Topographic Factors on Soil Water and Bulk Density in A Typical Slope Land in the Black Soil Area of Northeast China
Bibliographic record
Abstract
A typical slope land with black soil in Guangrong small watershed of Northeast China was taken as the study area.Soil water content and bulk density were measured from soil samples.Spatial analysis,classic statistics,and geostatisitcs were used to explore the effects of topographic factors on soil water and bulk density.Results show that slope has the first significant influence on soil water and bulk density and the correlations are significantly negative.Elevation and slope position have significant effects on soil water and slope aspect has no significant influence on soil water and bulk density.Result from geostatistics analysis demonstrates that soil water and bulk density have a median spatial heterogeneity and a strong spatial heterogeneity,respectively.Slope has the more important effect on soil water and bulk density than others and plays an important role in the control of soil and water loss in the study area.
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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) | 0.000 | 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".