The soil infiltration characteristics of typical grass land in Babao River Basin of Qilian mountain
Bibliographic record
Abstract
Using the Guelph Infiltration Meter, has carried out the investigation for the soil infiltration in typical grass land in Babao River Basin of Qilian Mountain,also based on the Kostiakov Model and Horton Model,has simulated the water infiltration characteristic. The results showed that the average soil initial infiltration rate was 1.66 cm·min-1 and the steady infiltration rate was 0.99 cm·min-1 in the Ebao sample region. The average soil initial infiltration rate was 0.47 cm·min-1 and the steady infiltration rate was 0.21 cm·min-1 in the Arou sample area. The infiltration rate was increased with the rise of the altitude.At the same time,the infiltration rate was the positive correlation with the soil moisture content. The whole infiltration process can be divided into three phases:The infiltration rate of 0~ 10 min was the rapid change stage; the infiltration rate of 10~ 30 min was slowly change phase and after 30 min the infiltration rate was gradually to reach the stability.The fitting effect of Kostiakov Model was good for the Arou sample area;but the Horton Model was suitable for the Ebao sample region.
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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 | 0.000 | 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) | 0.001 | 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".