Functional Evaluation Of Pedotransfer Functions For Simulation Of Soil Profile Drainage
Bibliographic record
Abstract
Abstract Direct measurement of soil hydraulic properties is time consuming and costly. Therefore indirect methods, such as pedotransfer functions (PTFs), may provide an alternative. Some PTFs have been incorporated into stand‐alone computer programs like Rosetta and Soilpar, which are used in this study. The aim of this study was to compare different PTFs to use for modelling soil free drainage at three different soil textures including loamy sand, loam and clay loam. Statistics showed relatively good performance of Rosetta in the simulation of free drainage of clay loam but its function was not good as clay loam for loam and loamy sandy soils. The results showed that simulation of free drainage using Rosetta's hydraulic parameters was better than Soilpar. The results also indicated that a PTF might be accurate enough for estimating soil hydraulic properties, but was not able to simulate the soil profile drainage process using an input in the numerical code and using them might lead to large errors in simulating soil water drainage. © 2019 John Wiley & Sons, Ltd.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".