Development of a low cost instrument profiler for subsea cabled observatories
Bibliographic record
Abstract
Ocean Networks Canada (ONC) has developed a compact and inexpensive prototype buoy profiling platform to perform near real-time instrument sampling of the water column. Water column profilers currently available for subsea cabled observatories are often large and expensive, incorporating large suites of cabled instruments. While these profilers are critical for ocean observation, their size and cost is prohibitive for more common applications. Subsea cabled networks, such as the VENUS and NEPTUNE observatories operated by ONC have several subsea instrument platforms equipped with power and communications. Currently, these platforms all contain CTDs and other small peripheral sensors such as O2 and FLNTU for baseline monitoring of ocean health. As these platforms are located on the seabed, they are limited in their ability to provide information on the properties of the overlying water column. Here we outline the development of a lower cost, smaller payload, profiling system that would enable water column measurements on cabled subsea observatories.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".