Bibliographic record
Abstract
We extend the calculation of fault slip potentials (FSP-s) to three dimensions by including the depth and dip of the faults. This yields the likelihood of fault reactivation as a function of depth, orientations, external stresses and cohesion. Furthermore, the 3D Mohr circles provide visual insight into safety distances for shear failure of pre-existing faults, as well as a sensitivity analysis of the importance of uncertainties in all geomechanical input parameters. Sensitivities are obtained by Monte Carlo sampling of the parameter space, thus including their uncertainties. In addition, the directions of fault slip are calculated. By applying the above analysis to a set of faults identified in the Western Canadian Sedimentary Basin, our results show that the introduction of slip direction and the safety distance, along with the extended 3D FSP analysis, can help identify the depths that are more likely to slip of different faults and therefore potentially leading to felt seismicity. Presentation Date: Wednesday, September 18, 2019 Session Start Time: 8:30 AM Presentation Start Time: 9:45 AM Location: 217B Presentation Type: Oral
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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 | 0.002 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".