Summary of the ground-motion characterisation model for the 2022 New Zealand National Seismic Hazard Model
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This document provides a high-level summary of the ground-motion characterisation model component of the 2022 New Zealand National Seismic Hazard Model. This includes: development of a New-Zealand-specific ground-motion database; consideration of alternative empirical ground-motion models based on global datasets; two new New-Zealand-specific models that were developed as part of the project; comparisons of the alternative models against observational data; and considered modifications of the ‘base’ models to account for near-fault directivity, back-arc attenuation for subduction earthquakes and treatment of partial correlation within epistemic uncertainty of the considered ‘backbone’ models. Finally, some limitations of the model, resulting from a lack of available datasets and/or timeframes, are discussed in the context of potential immediate avenues for further work. (The authors)
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 it