A Decade of High-resolution Ocean Bottom Pressure Measurements in the Northeast Pacific --- The NEPTUNE Observatory Turns 10 years old
Bibliographic record
Abstract
Ocean Networks Canada (ONC; http://www.oceannetworks.ca/) operates the multidisciplinary NEPTUNE and VENUS cabled ocean observatories off the west coast of Canada and an increasing number of miniature ocean observatories, such as in the Canadian Arctic. All data collected by these observatories are permanently archived and publicly available through ONC’s Oceans 2.0 data portal. Much of the data are related to marine geohazards, such as earthquakes, submarine landslides and tsunamis and are delivered in real-time, including to early warning centers. The NEPTUNE cabled observatory consists of an approximately 800-km long cable loop deployed off the west coast of Vancouver Island that covers the coastal zone, the northern part of the Cascadia subduction zone, Cascadia Basin and the Endeavour Segment of the Juan de Fuca Ridge. The observatory includes several high-precision bottom pressure recorders (BPRs) at each of its five active nodes. On September 30, 2009, just days after the first instruments were installed, six BPRs on the array recorded tsunami waves of 2.5 to 6 cm amplitude originating with the Mw 8.1 Samoa earthquake. The Samoan tsunami was followed by several other events recorded by the network, including those of the 2010 Chilean tsunami, the 2011 Tōhoku-Oki tsunami, and the 2012 Haida Gwaii tsunami. We will review the decade of open-access bottom pressure recorder data, instrument development, and research findings across many disciplines and give an outlook for future developments.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".