THE NGA-SUBDUCTION WEB PORTAL FOR THE DATABASES, PROCESSED TIME SERIES, AND TOOLS
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
The NGA-Subduction Project (NGA-Sub) is the latest program in a series of Next Generation Attenuation (NGA) projects directed towards database and ground-motion model (GMM) development for seismic hazard analysis. Whereas prior projects had targeted shallow crustal earthquakes in active tectonic regions (NGA-West1 and NGA-West2) and stable continental regions (NGA-East), NGA-Sub is to address ground motions specifically in subduction zones. Subduction zone earthquakes are a dominant source of seismic hazard in many regions globally, including the Pacific Northwest region of the United States and Canada. The GMMs are based on processed recordings and supporting source, path, and site metadata from seven regions: Alaska, Cascadia, Central America and Mexico, Japan, New Zealand, South America, and Taiwan. The NGA-Sub program has published a variety of products for use in both education, research, and engineering practice. These products consist of: (a) a structured relational database of earthquake-source data, recording-station and site data, and path data, as well as intensity measures such as pseudo spectral accelerations, duration metrics and CAV; (b) a “flatfileâ€, which is a single table that combines all relevant data and metadata used for ground motion model development; (c) GMMs which provide estimates of the mean and standard deviation of spectral ordinates; (d) coded versions of the GMMs in python, matlab, R, and VB Excel -- the Excel file contains a user-friendly interface for input and output; (e) a dataset of interactive maps for all PSA intensity measures; and (f) a web portal for ground-motion record selection and download. The focus of this paper is on the web portal of the databases and processed time series.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it