Assessment of blast energy usage and induced rock damage in hard rock surface mines
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
Explosive energy usage when fragmenting a rock mass is a complicated phenomenon. It is highly influenced by the rock mass response to higher stresses, higher loading rates, and the presence of discontinuities. An approach is presented to analyze the effects of rock mass properties on explosive energy. It is divided into steps to estimate blast energy, characterize the rock mass, assess failure mechanisms, and estimate damage zones using a combination of previously established methodologies. Through a case study in an open pit gold mine, five production shots are investigated of variable sizes with over 1,300 charged holes to analyze explosive energy–rock mass interactions. The ratio of in situ block size to the average fragmentation at variable distances from the charge is calculated to evaluate the effect of rock mass on energy distribution and fragmentation.
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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