Passive ocean sensing and soundscape analysis of the Juan de Fuca plate using the Ocean Networks Canada NEPTUNE Array
Bibliographic record
Abstract
The Ocean Networks Canada (OCN) deployment of a small set of acoustic recorders (4) in and around the Juan de Fuca plate provides the opportunity to observe the seasonal and long-term trends in the northeast Pacific ocean soundscape. With one receiver near the opening of the Straits of Juan De Fuca, two on the continental slope and one in deep water, we have the opportunity to evaluate the effects of local environment on the ambient sound. Wind waves and surface ships drive the low frequency ambient sound fields in most regions. These long-term recordings provide the opportunity to perform passive acoustic tomography, where the cross-correlation of the acoustic field over long time periods can provide estimates of the channel impulse response between the two hydrophones. This technique has been demonstrated experimentally at shorter ranges. The expected oceanographic observed signal from a “tomography experiment” is estimated using the ECCO4 model and the parabolic equation.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".