SSA Future Directions for Physics-Based Ground-Motion Modeling Meeting Report
Bibliographic record
Abstract
Calendar| April 03, 2024 Early Publication SSA Future Directions for Physics‐Based Ground‐Motion Modeling Meeting Report Becky Ham Becky Ham * 1Seismological Society of America, Albany, California, U.S.A. *Corresponding author: press@seismosoc.org Search for other works by this author on: GSW Google Scholar Author and Article Information Becky Ham * 1Seismological Society of America, Albany, California, U.S.A. *Corresponding author: press@seismosoc.org Publisher: Seismological Society of America First Online: 03 Apr 2024 Online ISSN: 1938-2057 Print ISSN: 0895-0695 © Seismological Society of America Seismological Research Letters (2024) https://doi.org/10.1785/0220240081 Article history First Online: 03 Apr 2024 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn Email Permissions Search Site Citation Becky Ham; SSA Future Directions for Physics‐Based Ground‐Motion Modeling Meeting Report. Seismological Research Letters 2024; doi: https://doi.org/10.1785/0220240081 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 Future Directions for Physics‐Based Ground‐Motion Modeling, the second topical conference convened by the Seismological Society of America, was held in Vancouver, Canada, on 10–13 October 2023. The meeting was cosponsored by the Seismological Society of Japan and cochaired by Annemarie Baltay of the U.S. Geological Survey and Hiroshi Kawase of Kyoto University. The idea for the meeting first took shape when Baltay and Kawase's avatars approached each other in the virtual networking space Gather Town during the 2021 SSA Annual Meeting at the Joyner Reception. The co‐chairss discussed the idea for this meeting and recalled noting that "ground motion's home... 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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.250 | 0.231 |
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".