Introduction to the <i>BSSA</i> Special Issue and <i>SRL</i> Focus Section on Seismic Hazard Models
Bibliographic record
Abstract
Research Article| January 19, 2024 Introduction to the BSSA Special Issue and SRL Focus Section on Seismic Hazard Models Matthew C. Gerstenberger; Matthew C. Gerstenberger * 1GNS Science Te Pu Ao, Lower Hutt, New Zealand *Corresponding author: m.gerstenberger@gns.cri.nz https://orcid.org/0000-0002-0392-7114 Search for other works by this author on: GSW Google Scholar Allison L. Bent; Allison L. Bent 2Natural Resources Canada, Ottawa, Canada Search for other works by this author on: GSW Google Scholar P. Martin Mai; P. Martin Mai 3King Abdullah University of Science and Technology, KAUST, Saudi Arabia https://orcid.org/0000-0002-9744-4964 Search for other works by this author on: GSW Google Scholar John Townend John Townend 4Te Herenga Waka ‐ Victoria University of Welliington, Wellington, New Zealand https://orcid.org/0000-0002-7017-620X Search for other works by this author on: GSW Google Scholar Author and Article Information Matthew C. Gerstenberger https://orcid.org/0000-0002-0392-7114 * 1GNS Science Te Pu Ao, Lower Hutt, New Zealand Allison L. Bent 2Natural Resources Canada, Ottawa, Canada P. Martin Mai https://orcid.org/0000-0002-9744-4964 3King Abdullah University of Science and Technology, KAUST, Saudi Arabia John Townend https://orcid.org/0000-0002-7017-620X 4Te Herenga Waka ‐ Victoria University of Welliington, Wellington, New Zealand *Corresponding author: m.gerstenberger@gns.cri.nz Publisher: Seismological Society of America First Online: 19 Jan 2024 Online ISSN: 1938-2057 Print ISSN: 0895-0695 © Seismological Society of America Seismological Research Letters (2024) https://doi.org/10.1785/0220230422 Article history First Online: 19 Jan 2024 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn Email Permissions Search Site Citation Matthew C. Gerstenberger, Allison L. Bent, P. Martin Mai, John Townend; Introduction to the BSSA Special Issue and SRL Focus Section on Seismic Hazard Models. Seismological Research Letters 2024; doi: https://doi.org/10.1785/0220230422 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 The recent completion of a fundamental revision of the New Zealand National Seismic Hazard Model (New Zealand NSHM) provided the catalyst for a joint BSSA Special Issue and SRL Focus Section on seismic hazard models worldwide. The approaches to NSHMs in different locations are varied and driven by different expertise, different philosophies, different tectonic environments, and different needs of the local communities. Despite the large number of countries facing risks from earthquakes, the community of researchers working on NSHMs is small, and it is to our benefit as a community to learn from each other and to understand approaches other... 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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.388 | 0.301 |
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".