Monitoring fin whale calls using Ocean Observatories Initiative Regional Cabled Array
Bibliographic record
Abstract
The Ocean Observatory Initiative (OOI) Regional Cable Array (RCA) and the Ocean Networks Canada NEPTUNE cabled observatory provide an opportunity for long-term studies of the distribution and behavior of calling marine mammals. We will present the results of a study to build a database of “20-Hz” fin whale calls that spans from 2015 to present. Fin whale calls were collected by bottom-mounted low-frequency hydrophones and seismometers deployed on the OOI RCA and are detected automatically by spectrogram cross-correlation with a detection kernel that sweeps down linearly from ∼26 Hz to ∼19 Hz with a duration of ∼0.8 s. The kernel is tuned to detect the high amplitude portions of both the high- and low-frequency calls of the doublet calling pattern which is currently the dominant fin whale song in this area. Preliminary results show significant interannual variations at a given site in the distribution of calls during the fall and winter calling season. The onset of calling appears to be significantly earlier near the continental slope off central Oregon than at Axial Seamount, 450 km offshore. There also appears to be a higher overall rate of calling nearer the continental slope.
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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".