Self‐similar rupture implied by scaling properties of volcanic earthquakes occurring during the 2004‐2008 eruption of Mount St. Helens, Washington
Bibliographic record
Abstract
Abstract We analyze a group of 6073 low‐frequency earthquakes recorded during a week‐long temporary deployment of broadband seismometers at distances of less than 3 km from the crater at Mount St. Helens in September of 2006. We estimate the seismic moment ( M 0 ) and spectral corner frequency ( f 0 ) using a spectral ratio approach for events with a high signal‐to‐noise (SNR) ratio that have a cross‐correlation coefficient of 0.8 or greater with at least five other events. A cluster analysis of cross‐correlation values indicates that the group of 421 events meeting the SNR and cross‐correlation criteria forms eight event families that exhibit largely self‐similar scaling. We estimate the M 0 and f 0 values of the 421 events and calculate their static stress drop and scaled energy ( E R / M 0 ) values. The estimated values suggest self‐similar scaling within families, as well as between five of eight families (i.e., and constant). We speculate that differences in scaled energy values for the two families with variable scaling may result from a lack of resolution in the velocity model. The observation of self‐similar scaling is the first of its kind for such a large group of low‐frequency volcanic tectonic events occurring during a single active dome extrusion eruption.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".