Statistical assessment of intact rock properties for two underground mining projects at Raglan Mine, Quebec, Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT The design of underground mining excavations relies on geotechnical characterization of intact rock through laboratory testing. As mining project development progresses through prefeasibility to production stages, the reliability of estimates of rock mechanics properties needs to increase. However, it is challenging to determine the number of tests needed to adequately estimate intact rock properties at different development stages. This paper looks at the early stages of an underground mining project in the Canadian Arctic where two field and laboratory testing campaigns were conducted to evaluate intact rock tensile and uniaxial compressive strength. Results were statistically compared to target confidence levels associated with different stages of a mining project. The study provides insights for planning future field and laboratory testing campaigns. The methodology also provides a quantitative means to assess whether additional laboratory testing is needed to improve tensile and uniaxial compressive strength estimates.
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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 | 0.000 | 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 | 0.000 |
| 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 it