Correction of Hydraulic Conductivity Deviations in the Medium Moisture Range Using the PDI Model
Bibliographic record
Abstract
Systematic underestimation of hydraulic conductivity in medium moisture ranges (θ = 0.15-0.30 cm³•cm⁻³) was addressed by incorporating film flow dynamics into the PDI framework. Laboratory evaporation experiments were performed under controlled conditions (20°C, suction range 0-1500 kPa). The PDI model, based on a simplified Langmuir isotherm, reduced deviations by 28% compared to van Genuchten functions. Bayesian posterior sampling (n = 10,000 iterations) revealed that τ and ω parameters showed strong identifiability, with posterior standard deviations < 5% of mean values. This improvement is crucial for modeling hydrological processes in peatland and wetland soils, where accurate representation of medium-range flow dominates seasonal water balance.
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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".