Assessing intraplate earthquake hazards from satellite geopotential field observations
Bibliographic record
Abstract
Abstract Satellite magnetic and gravity field observations provide important constraints on the poorly understood lithospheric properties of intraplate earthquakes because they map lateral long-wavelength contrasts in magnetization and density, respectively, related to petrological, structural, and thermal variations that help control the distribution of lithospheric stress. These anomalies are each a product of the vertically integrated physical property times the layer thickness. Thus, they constrain and enhance the geological utility of near-surface geopotential surveys, as well as seismic, GPS, and other geophysical observations that map the geological and dynamic properties of the lithosphere. To illustrate this synergy, we consider the influence of the US Transcontinental Magnetic Anomaly (TMA) on crustal stress and earthquake activity along the 38 th parallel. In another example, we compare crustal earthquake stress constraints from gravity and seismic observations of the US mid-continent and North Andes microplate where starkly contrasting plate tectonic forces operate.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 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".