A new laboratory apparatus for measuring leakage through geomembrane holes beneath mine tailings
Bibliographic record
Abstract
The design and performance of a new laboratory apparatus for measuring leakage through geomembrane holes beneath mine tailings is presented. Finite element seepage analysis shows a negligible effect of the lateral boundary on leakage through the geomembrane hole and that the laboratory apparatus provides an excellent idealization of the deep burial conditions expected in the field. Results from four experiments are then reported to demonstrate the effectiveness of the new apparatus and gain insight on the effect of having a low permeable layer on top of the geomembrane on leakage, as may be expected for containment applications involving mine tailings. Two of the experiments simulated having fine grained tailings above the geomembrane (containing a 10 mm diameter hole) in a deep tailings storage facility with applied vertical and pore pressures of 3000 and 1500 kPa. Leakage through the hole with low permeable layer on top of the geomembrane was found to be two to four times smaller than the leakage from two other experiments with a very high permeable layer above the geomembrane (i.e., much more like a solid waste landfill configuration).
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".