The VENUS Cabled Observatory: Engineering Meets Science on the Seafloor
Bibliographic record
Abstract
The VENUS cabled ocean observatory is one of the first in the next generation of ocean observing platforms. It is an integration of marine telecommunication and sub-sea technologies with oceanographic instrument systems, accessible over the Internet. Commands originate at the network operations centre and are piped over a virtual private network (VPN) through a shore station and down a marine fibre optic cable to the sub-sea components consisting of central nodes, instrument interface modules, and instrument systems. Data from the instrument sensors flows through the infrastructure and is briefly buffered at the shore station before being transmitted over the Internet to the data management and archive system (DMAS) at the University of Victoria. Here the information is sorted and stored for publication on the project web site and retrieval by observatory users. The observatory consists of 2 independent arrays located in the coastal waters of southern British Columbia. The first is in Saanich Inlet with a node at the 96 m depth near the entrance to Patricia Bay. The second array is in the Strait of Georgia, with two nodes southwest of the main mouth of the Fraser River, including a deep node at 300 m and a shallow node at 170 m. Among the challenges has been the engineering design and installation of a complex sub-sea facility that is both flexible and robust, while meeting the needs of the scientific research community. The main components of the VENUS observatory, the initial suite of instrument systems, and the preliminary data retrieval methods are presented. For the latest data and system status, visit the VENUS website at: http://www.venus.uvic.ca/.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.028 | 0.011 |
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".