Scamp: A Submarine-Mounted Geophysical Survey System For Use Under The Arctic Ice
Bibliographic record
Abstract
US Navy nuclear submarines are being used for unclassified scientific missions in the Arctic under the terms of a memorandum of agreement between the Navy, the Office of Naval Research, the National Science Foundation (NSF), the U.S. Geological Survey and the National Oceanic and Atmospheric Administration. Thus far, the tools for geophysical survey have been limited to a BGM-3 gravity meter and a narrow beam echo sounder. With support from the NSF, the Palisades Geophysical Institute, the Geological Survey of Canada and Columbia University, we have completed the design of and are in the process of building and testing the Seafloor Characterization and Mapping Pod (SCAMP) which consists of a Sidescan Swath Bathymetric Sonar (SSBS), a High Resolution Subbottom Profiler (HRSP), Bell Aerospace BGM-3 gravity meter and a physically compact Data Acquisition and Quality Control System (DAQCS.) Shallow towed SSBS designs are readily adapted for the unique requirements of submarine operations ...
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.015 | 0.006 |
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".