The drained stacking of granular tailings : a disposal method for a low degree of saturation of the tailings mass
Bibliographic record
Abstract
The method of tailings disposal, has a strong influence on the characteristics of the tailings mass within the reservoir and on the behaviour of the tailings dam. The presence, and the amount of the water in the voids of the tailings, is an important factor that governs several aspects of the performance and the safety of tailings dams. A tailings mass with a low degree of saturation presents a lower risk of liquefaction of the tailings mass and achieves higher densities, in response to the loads applied by the reservoir filling. This paper describes a method of disposal of tailings composed of silt and a fine sand fraction, with provisions to drain the water from the voids of the tailings. The starter dam is a construction controlled pervious dam with a drainage system provided within the tailings deposition area, in order that the tailings mass achieves a low degree of saturation. Two examples are presented of tailings disposal systems using this method, with stack structures achieving up to 195.0 meters height. [All papers were considered for technical and language appropriateness by the organizing committee.]
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".