Continuous Seep Monitoring at the Northern Cascadia Margin by Ocean Networks Canada
Bibliographic record
Abstract
Since 2012 Ocean Networks Canada (ONC) has acquired high-quality long-term multibeam sonar data from the seafloor at Clayoquot Slope off Vancouver Island which is one of the most active methane vent regions of the Cascadia Margin, and where ONC has one of its nodes of the NEPTUNE cabled seafloor observatory. The sonar was first deployed at a vent field of irregular activity (near Bubbly Gulch), and since 2014 it is located at an extremely active field (Gastown Alley). The data that have been analyzed so far exhibit the strong dependence of gas bubble emissions with tidal pressure, although the tides alone cannot explain all the observed dynamics such as onset cessation of ebullition or periods of strong versus absence of seepage, and other factors need to be considered and ideally monitored to predict future seepage.Seafloor cabled observatories are ideal to acquire high-resolution data of many ocean and seafloor parameters, including those from high-bandwidth data or power-intensive instruments. This presentation is an opportunity to explore possibilities to modify the existing seepage observatory, adding to the already installed instruments at Clayoquot Slope, or change focus to Barkley Canyon, another ONC node location, where hydrate mounts and outcrops occur and methane vents also exist.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".