Using Uncrewed Surface Vehicles for Maritime Domain Awareness in the Arabian Gulf
Bibliographic record
Abstract
In 2022 and 2023, Open Ocean Robotics (OOR) participated in two significant U.S. Navy exercises for uncrewed vehicles in the Arabian Gulf - Digital Horizons 2022 (DH22) and the International Maritime Exercise 2023 (IMX23). This demonstrated the capabilities of an OOR DataXplorer™ Uncrewed Surface Vehicle (USV) to continuously observe surrounding waters for the purpose of Maritime Domain Awareness (MDA). The importance of this type of work was highlighted by the creation of Task Force 59 within the U.S. Navy's <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$5^{\text{th}}$</tex> Fleet in order to test existing commercial USV technologies, as well as Uncrewed Aerial Vehicles, to significantly expand use of such for MDA.
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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 | 0.001 | 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 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".