Processed bathymetry data (netCDF grids) acquired near-bottom in 2017 on the continental slope of the Canadian Beaufort Sea with MBARI mapping AUV on several Arctic Ocean missions
Bibliographic record
Abstract
This high-resolution gridded bathymetry data set was acquired with a Reson SeaBat 7125 Multibeam sonar system in 2017 on MBARI Mapping AUV mission 20170910m1. The file is in GMT-compatible netCDF format, is projected in UTM coordinates (Zone 8N), and was processed using the open-source MB-System multibeam sonar processing software. The grid has 4-meter horizontal resolution.The AUV survey mission was conducted during the 2017 KOPRI R/V Araon cruise ARA08C in the Beaufort Sea (Cruise Chief Scientist - Young Keun Jin, KOPRI; project PI - Charlie Paull and investigators: David Caress and Eve Lundsten, MBARI). Data were acquired as part of a collaborative research project between MBARI, KOPRI, the Geological Survey of Canada, and Department of Fisheries and Oceans Canada to understand slope stability. Funding for the AUV mapping was provided from the David and Lucile Packard Foundation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.007 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".