Bibliographic record
Abstract
Moment tensor analysis ofregional earthquakes (distances -< 1000 km) in western Canada is now possible due to the installation of more than 40 three-component broadband seismometers in western Canada and adjacent regions. At the Geological Survey of Canada, Pacifie Geoscience Centre (PGC), regional moment tensor (RMT) analysis using robust waveform fitting techniques are employed to routinely calculate source mechanisms, moments, and depths of earthquakes with M ~ - 4.0 in and near western Canada. This bas resulted in about 10 times as man y moment tensor solutions per year for this region than have been calculated using teleseismic methods which are limited to earthquakes about M > 5.0. To date, more than 400 RMT solutions have been calculated at PGC for western Canada and adjacent regions for the years 1995- 2004. These solutions provide new insights into a number of tectonic problems in western Canada including defining plate boundaries , constraining plate motions, determining the state of stress and strain within plates, and more accurate magnitude estima tes. This report provides an overview of the basic theory of moment tensor solutions, details of the method used at PGC to calculate RMT solutions , a number of examples of RMT solutions for earthquakes of varying magnitude and location throughout western Canada, and details of the crustal models used to mode! the observed waveforms.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.039 | 0.008 |
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".