The distance analysis of a mine scale event
Bibliographic record
Abstract
Mining induced seismic events greater then Nuttli Magnitude 3.0 are difficult to understand, have \nhigh potential consequences and are becoming increasingly common in Canada. The term mine \nscale event (MSE) is used to describe a seismic event in which the mechanisms and processes \ninvolved take place on a scale similar to that of the mine. \nA MSE from Nickel Rim South Mine was investigated using seismic data to explain its time, \nlocation and large magnitude. A novel tool, Time Distance Analysis was developed to identify \nspatial-temporal trends in seismicity around the MSE. Guidelines were developed to account for \nthe unknown spatial and temporal extent of the processes that led to and were affected by the \nMSE. \nThe results showed that preceding seismicity tended to coalesce around the eventual hypocenter \nof the MSE while subsequent seismicity migrated away. The coalescence was interpreted to \nrepresent the deterioration of a fault asperity, leading to an eventual rupture. After the MSE \noccurred, the dispersion of seismicity was interpreted to represent an unloading of the source \nregion.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".