Introduction to the Special Section on Fault Displacement and Near-Source Ground-Motion Models
Bibliographic record
Abstract
Research Article| September 14, 2021 Introduction to the Special Section on Fault Displacement and Near‐Source Ground‐Motion Models Luis A. Dalguer; Luis A. Dalguer * 13Q‐Lab GmbH, Zurich, Switzerland *Corresponding author: luis.dalguer@alumni.ethz.ch https://orcid.org/0000-0003-0582-7640 Search for other works by this author on: GSW Google Scholar Steven M. Day; Steven M. Day 2Department of Geological Sciences, San Diego State University, San Diego, California, U.S.A. https://orcid.org/0000-0001-9924-9524 Search for other works by this author on: GSW Google Scholar Gail M. Atkinson; Gail M. Atkinson 3Department of Earth Sciences, University of Western Ontario, London, Ontario, Canada https://orcid.org/0000-0003-2403-1349 Search for other works by this author on: GSW Google Scholar Rui Chen Rui Chen 4California Geological Survey, Sacramento, California, U.S.A. https://orcid.org/0000-0002-5138-840X Search for other works by this author on: GSW Google Scholar Bulletin of the Seismological Society of America (2021) 111 (5): 2271–2274. https://doi.org/10.1785/0120210204 Article history first online: 14 Sep 2021 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Tools Icon Tools Get Permissions Search Site Citation Luis A. Dalguer, Steven M. Day, Gail M. Atkinson, Rui Chen; Introduction to the Special Section on Fault Displacement and Near‐Source Ground‐Motion Models. Bulletin of the Seismological Society of America 2021;; 111 (5): 2271–2274. doi: https://doi.org/10.1785/0120210204 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu nav search search input Search input auto suggest search filter All ContentBy SocietyBulletin of the Seismological Society of America Search Advanced Search Reliable quantification of ground motions proximal to the source and fault displacement caused by surface rupturing are primary concerns for site‐specific seismic hazard analyses (SHA) and fault displacement hazard analyses (FDHA). Such analyses are crucial for critical infrastructures near or crossing active faults, including nuclear power plants, nuclear waste repositories, pipelines, high‐rise buildings, long‐span bridges, chemical plants, dams, and so forth. These hazard analyses require integration of the best available information about how surface ruptures, near‐fault ground motions and permanent ground displacements are controlled by region‐specific geology, site effects, seismic sources, and near‐source wave propagation. The development of reliable empirical... You do not currently have access to this article.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.177 | 0.144 |
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".