Bibliographic record
Abstract
A slope stability analysis was performed for the mine rock pile located at Molycorp’s Questa Mine. The goal of this task is to provide a sensitivity analysis with respect to the influence of various input parameters on the slope stability model. The influence of a change in soil shear strength parameters as influenced by weathering factors was also investigated. A particular focus of the study is the examination of potential thin weak layers and their impact on the stability analysis. The weathering aspects of these weak layers and the resulting influence on stability will be determined through a sensitivity analysis. The 2D forward analysis for the Goat Hill North detailed conceptual model results in a peak shear strength factor of safety of approximately 1.4 and a large deformation shear strength factor of safety equal to 1.18. The probability of failure of a conceptual model similar to the Goat Hill North conceptual model displays a probability of failure greater than 4% only if the overall slope angle exceeds 37.5 degrees and the large deformation shear strength values are used in the model. For a weak layer to cause failure conditions the effective shear strength of the layer would have to drop to approximately 20-23 degrees. [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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".