Site‐Effects Model for Central and Eastern North America Based on Peak Frequency
Bibliographic record
Abstract
Abstract We develop a regional site‐effects model for central and eastern North America based on an analysis of the residuals of observed ground‐motion parameters relative to two regional ground‐motion prediction equations: one model has a hard‐rock (site class A) reference site condition, whereas the other is referenced to a B/C boundary site condition (site classification of National Earthquake Hazard Reduction Program). In both cases, the residuals are well described by a site‐effects model based on site fundamental frequency f peak , in which f peak is as determined from the horizontal‐to‐vertical component response spectral ratios. Accordingly, we derive an f peak ‐based site amplification model with respect to B/C and hard‐rock reference site conditions. Implementing the f peak ‐based model, we reduce random variability in amplitudes σ by 10% on average, for a selected database from the Next Generation Attenuation‐East Project, relative to the value obtained when using a generic site‐effects model parameterized by near‐surface shear‐wave velocity (time‐averaged shear‐wave velocity in the upper 30 m, V S 30 ). The reduction in σ comes from the site‐to‐site component of the variability (reduced by 20% on average), whereas the single‐station variability is unaffected.
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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 | 0.000 | 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) | 0.000 | 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".