Explorer-a modular AUV for commercial site survey
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Fugro Survey and ISE are developing a modular AUV for deep water, commercial site survey. The Explorer AUV is intended initially for operations in depths of up to 3500 meters where it will conduct seabed surveys more economically than deep tow systems. Explorer will carry a full suite of seabed survey equipment including a multibeam echosounder (swathe bathymetry), dual frequency sidescan sonar and subbottom profiler, magnetometer, and conductivity temperature and depth probe (CTD). The vehicle will have a top speed of 2.5 meters per second and a range of 300 km with the capability of upgrading the range to 750 km with a fuel cell. Throughout its survey mission, the vehicle will maintain a navigational accuracy sufficient to meet the oil industry requirement of data positioning accuracy within 5 to 20 meters. Development of the vehicle commenced in the summer of 1999. In this paper, the authors review the factors and trade-off considerations which led to the selection of the Explorer vehicle configuration, pressure hull design, power source, control, navigational and positioning, sensor data management and acoustic telemetry, and finally, the approach to launch and recovery.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it