Observing the fate of methane utilizing Ocean Network Canada's cabled seafloor NEPTUNE Observatory
Bibliographic record
Abstract
Cabled ocean observatories enable permanent continuous observations in situ in addition to regular sampling during observatory maintenance expeditions, which allow for some of the most comprehensive monitoring to understand the fate of methane all the way from below the seafloor (with instrumented boreholes), through the seafloor (with bottom sensors, cameras or cabled vehicles) into the water column (with sonars). Ocean Networks Canada is operating the NEPTUNE observatory off the coast of Vancouver Island since 2009 with two of its instrument nodes at gas hydrate sites. The first site, Clayoquot Slope, is at around 1200 m water depth and is a site of high fluid expulsion including large amounts of methane gas seepage, which has been observed for over a decade with permanent sonar scanning. The second site, Barkley Canyon, is at about 900 m water depth and has hydrate mounds with exposed gas hydrate on the seafloor, and is unique for its thermogenic methane and also oil seepage, and the most important observations have been made by a remotely-operated cabled and instrumented a seafloor crawler called Wally. This presentation will provide a few highlights on gas hydrate observations and invites the research community for new ideas how to expand the use of the permanent and continuous data flow opportunities that stem from the 24/7 presence of power and communication availability at the two different hydrate sights.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".