Acquiring Real Time Data from the Broadband Ocean Bottom Seismic Observatory at Monterey Bay (MOBB)
Bibliographic record
Abstract
Research Article| March 01, 2009 Acquiring Real Time Data from the Broadband Ocean Bottom Seismic Observatory at Monterey Bay (MOBB) Barbara Romanowicz; Barbara Romanowicz Berkeley Seismological Laboratory 215 McCone Hall Berkeley, California 94720 U.S.A. barbara@seismo.berkeley.edu (B. R.) 1Berkeley Seismological Laboratory, Berkeley, California Search for other works by this author on: GSW Google Scholar Paul McGill; Paul McGill Berkeley Seismological Laboratory 215 McCone Hall Berkeley, California 94720 U.S.A. barbara@seismo.berkeley.edu (B. R.) 2Monterey Bay Aquarium Research Institute, Moss Landing, California Search for other works by this author on: GSW Google Scholar Doug Neuhauser; Doug Neuhauser Berkeley Seismological Laboratory 215 McCone Hall Berkeley, California 94720 U.S.A. barbara@seismo.berkeley.edu (B. R.) 1Berkeley Seismological Laboratory, Berkeley, California Search for other works by this author on: GSW Google Scholar David Dolenc David Dolenc Berkeley Seismological Laboratory 215 McCone Hall Berkeley, California 94720 U.S.A. barbara@seismo.berkeley.edu (B. R.) 3Large Lakes Observatory, University of Minnesota, Duluth Search for other works by this author on: GSW Google Scholar Seismological Research Letters (2009) 80 (2): 197–202. https://doi.org/10.1785/gssrl.80.2.197 Article history first online: 09 Mar 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation Barbara Romanowicz, Paul McGill, Doug Neuhauser, David Dolenc; Acquiring Real Time Data from the Broadband Ocean Bottom Seismic Observatory at Monterey Bay (MOBB). Seismological Research Letters 2009;; 80 (2): 197–202. doi: https://doi.org/10.1785/gssrl.80.2.197 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 Two-thirds of the Earth's surface is covered by oceans, which represents a considerable challenge to investigations of global-scale dynamic processes in the Earth's interior and of tectonic processes at ocean-continent boundaries. Long-term ocean-floor observations are also necessary to better constrain regional tectonics, such as on the western margin of North America where tectonics and seismic activity do not stop at the continental edge. In northern California, for example, the most active seismic zone is near the Mendocino triple junction and is mostly offshore, as are a number of hazardous faults such as the San Gregorio and Hosgri faults and part... 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.032 | 0.019 |
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".