Peace River Induced Seismic Monitoring (PRISM) Nodal Seismic Array
Bibliographic record
Abstract
Abstract From 23 November 2022 to 30 November 2022, a sequence of earthquakes with a peak magnitude of ML 5.6 occurred ∼46 km away from Peace River—a vibrant rural community in Alberta, Canada. Broadly felt by residents throughout central Alberta, the ML 5.6 earthquake on 30 November 2022 registers as the second-largest earthquake ever reported in the Western Canada Sedimentary basin and possibly the largest Canadian earthquake induced by human activities. On 6 December 2022, 1 week after the mainshock, the University of Alberta and Alberta Geological Survey jointly installed a circular array of nodal geophones surrounding the seismogenic zone. Over the next 4 months, this quick-response array (nicknamed “Peace River Induced Seismic Monitoring” array, for short PRISM) operated at temperatures as low as −30°C and substantially bolstered the seismic data coverage in this previously undersampled region. Our preliminary array data analysis has detected more than 2000 earthquakes with magnitudes ranging from −1.9 to 5.0 since the initial outbreak in late 2022. Investigations based on earthquake location, focal mechanism, and magnitude jointly reveal distinct earthquake clusters distributed along pre-existing faults from earlier tectonic events. The data recovered from this array offer unique and vital constraints on the tectonic histories and seismic risks of the Peace River region.
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How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.003 |
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; both teacher heads agree on what is shown here.
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".