EqHaz: An Open-Source Probabilistic Seismic-Hazard Code Based on the Monte Carlo Simulation Approach
Bibliographic record
Abstract
Research Article| May 01, 2013 EqHaz: An Open‐Source Probabilistic Seismic‐Hazard Code Based on the Monte Carlo Simulation Approach Karen Assatourians; Karen Assatourians Department of Earth Sciences, University of Western Ontario, 1151 Richmond Street, London, Ontario, N6A 5B7 Canadakarenassatourians@yahoo.comgmatkinson@aol.com Search for other works by this author on: GSW Google Scholar Gail M. Atkinson Gail M. Atkinson Department of Earth Sciences, University of Western Ontario, 1151 Richmond Street, London, Ontario, N6A 5B7 Canadakarenassatourians@yahoo.comgmatkinson@aol.com Search for other works by this author on: GSW Google Scholar Author and Article Information Karen Assatourians Department of Earth Sciences, University of Western Ontario, 1151 Richmond Street, London, Ontario, N6A 5B7 Canadakarenassatourians@yahoo.comgmatkinson@aol.com Gail M. Atkinson Department of Earth Sciences, University of Western Ontario, 1151 Richmond Street, London, Ontario, N6A 5B7 Canadakarenassatourians@yahoo.comgmatkinson@aol.com Publisher: Seismological Society of America First Online: 09 Mar 2017 Online ISSN: 1938-2057 Print ISSN: 0895-0695 © 2013 by the Seismological Society of America Seismological Research Letters (2013) 84 (3): 516–524. https://doi.org/10.1785/0220120102 Article history First Online: 09 Mar 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn Email Permissions Search Site Citation Karen Assatourians, Gail M. Atkinson; EqHaz: An Open‐Source Probabilistic Seismic‐Hazard Code Based on the Monte Carlo Simulation Approach. Seismological Research Letters 2013;; 84 (3): 516–524. doi: https://doi.org/10.1785/0220120102 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietySeismological Research Letters Search Advanced Search We have developed a suite of open‐source FORTRAN programs to perform probabilistic seismic‐hazard analysis (PSHA) by the Monte Carlo simulation method (Musson, 1998, 1999, 2000, 2012a; Hong and Goda, 2006). Our program suite, EqHaz (http://www.seismotoolbox.ca/EQHAZ.html, last accessed April 2013), is designed to optimize the speed, flexibility, and ease of application for typical PSHA problems in moderate‐seismicity environments, such as eastern North America (ENA), for which detailed information on the source characteristics and wave‐propagation attributes of specific active fault sources are unavailable. The program can handle areal and fault sources with magnitude‐recurrence statistics... You do not have access to this content, please speak to your institutional administrator if you feel you should have access.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.078 | 0.021 |
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 source (direct Gemma or distilled Codex), 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".