Study on the spatial variability of hydraulic conductivity
Why this work is in the frame
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Bibliographic record
Abstract
The spatial variability of hydraulic properties is the basis of stochastic research on groundwater. The hydraulic conductivity is the most important parameter. There is still no exact answer to the question about the distribution of hydraulic conductivity though studies dealing with this topic are numerous. In this paper, a discussion of Sudicky's(1986) field experiment for the geostatistical characterization of the hydraulic conductivity at the Borden aquifer in Ontario, Canada is performed by using the different schemes of the data disposal. The results of the analysis suggest that the distribution of hydraulic conductivity is lognormal by using the appropriate method. In addition, some useful advices are provided for carrying out the field study on the spatial variability of hydraulic conductivity in the future.
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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 | 0.002 | 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 it