Full-Scale Evaluation of the Performance of Three Compacted Clay Liners
Bibliographic record
Abstract
Abstract This paper examines the performance of three compacted clay liners for holding and treating municipal wastewater in three lagoons. The quality controls for the liners included verification of compaction conditions (dry density and water content) and full-scale leakage tests. These were made by filling each lagoon with clear water and monitoring the leakage rate versus water level in the lagoon. This paper presents the quality control data, the predicted local values of the hydraulic conductivity k versus void ratio e, and degree of saturation Sr as achieved by compaction, and a statistical prediction of the large-scale k value for each liner. For this case history, one full-scale test was performed before winter and the measured large-scale k value agreed with the predicted value. Two full-scale tests were performed the following spring, and revealed that frost had seriously damaged the liners of the two lagoons, which had been left empty during winter. The paper thus validates a previously proposed model for predicting hydraulic conductivity, and it also provides a statistical approach to predict the large-scale k value of undamaged clay liners.
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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 | 0.001 | 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 | 0.001 |
| 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".