Implementation and Validation of EXSIM (A Stochastic Finite-Fault Ground-Motion Simulation Algorithm) on the SCEC Broadband Platform
Bibliographic record
Abstract
Research Article| December 17, 2014 Implementation and Validation of EXSIM (A Stochastic Finite‐Fault Ground‐Motion Simulation Algorithm) on the SCEC Broadband Platform Gail M. Atkinson; Gail M. Atkinson Department of Earth Sciences, Western University, London, Ontario, Canada N6A 5B7gmatkinson@aol.comkarenassatourians@yahoo.com Search for other works by this author on: GSW Google Scholar Karen Assatourians Karen Assatourians Department of Earth Sciences, Western University, London, Ontario, Canada N6A 5B7gmatkinson@aol.comkarenassatourians@yahoo.com Search for other works by this author on: GSW Google Scholar Author and Article Information Gail M. Atkinson Department of Earth Sciences, Western University, London, Ontario, Canada N6A 5B7gmatkinson@aol.comkarenassatourians@yahoo.com Karen Assatourians Department of Earth Sciences, Western University, London, Ontario, Canada N6A 5B7gmatkinson@aol.comkarenassatourians@yahoo.com Publisher: Seismological Society of America First Online: 14 Jul 2017 Online ISSN: 1938-2057 Print ISSN: 0895-0695 © 2015 by the Seismological Society of America Seismological Research Letters (2015) 86 (1): 48–60. https://doi.org/10.1785/0220140097 Article history First Online: 14 Jul 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn Email Permissions Search Site Citation Gail M. Atkinson, Karen Assatourians; Implementation and Validation of EXSIM (A Stochastic Finite‐Fault Ground‐Motion Simulation Algorithm) on the SCEC Broadband Platform. Seismological Research Letters 2014;; 86 (1): 48–60. doi: https://doi.org/10.1785/0220140097 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 This article describes the validation exercise associated with preparing EXSIM, a stochastic extended finite‐fault algorithm for ground‐motion simulation, for use as a time‐history simulation module on the Southern California Earthquake Center (SCEC) Broadband Platform (BBP), version 14.3. This involved importing the algorithm to the SCEC computational platform and standardization and calibration of the input parameters. Herein, we (1) provide a brief overview of the EXSIM method of simulating time histories, (2) summarize its input parameters and their assigned values for generic applications in eastern and western North America (ENA and WNA, respectively), and (3) show comparisons of response spectra from... 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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".