Effects of range-dependent sound speed on acoustic seaglider arrivals in the Canada Basin
Bibliographic record
Abstract
Two seagliders equipped with temperature, conductivity and pressure sensors, acoustic recorders, and acoustic Doppler current profilers were deployed in the Canada Basin as part of a large scale acoustic tomography experiment in the summer of 2016 and 2017. The seagliders received transmissions from moored acoustic sources transmitting linear frequency modulated sweeps with 100 Hz bandwidth and center frequencies on the order of 250 Hz. Sources were moored at approximately 175 m depth within an acoustic duct (sometimes referred to at the Beaufort Duct), which is present in the Canada Basin due to Pacific Winter Water, enabling acoustic transmission to long ranges. Acoustic Seagliders recorded transmissions at ranges up to 480 km. The variability and stability of the acoustic duct with range was measured by temperature and salinity profiles recorded by the gliders as they transited between moored source locations. The range dependence of this duct will be explored through oceanographic measurements made in the summer of 2016 and 2017, with particular attention paid to glider transects which roughly overlapped between the two years. The effect of the range dependent sound-speed environment on the acoustic arrivals received on the gliders will be explored through parabolic equation models and received acoustic data.
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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 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".