A Methodology for Applying Probability Theory to Unsaturated Hydraulic Properties as the Foundation for Seepage Analysis
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Bibliographic record
Abstract
Methods for application of unsaturated soils analysis have progressed greatly in the past few years. The consideration of unsaturated scenarios in the numerical modeling of seepage in soils as well as the influence on slope stability is becoming more commonplace in geotechnical consulting firms. Given that the dissipation of soil suction is often a trigger mechanism in slope failures it is becoming increasingly important to apply probability theory to the determination of reasonable flow scenarios in soil slopes. This is especially true in light of the reasonable variation in climatic influences. This paper intends to describe a reasonable methodology for the describing of unsaturated hydraulic properties of a soil for application in a numerical modeling seepage analysis.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 0.000 |
Machine scores (provisional)
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Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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