Statistical and spatial characteristics of ocean ambient noise up to 1900 Hz on the Chukchi Shelf in the Arctic affected by climate change
Bibliographic record
Abstract
This paper analyzes a year of underwater ambient noise data recorded in the Arctic on the Chukchi Shelf as part of the 2016–2017 Canada Basin Acoustic Propagation Experiment (CANAPE). A broadband (50–1900 Hz) statistical study is performed to analyze noise variability and its relationship to environmental drivers, notably the local presence of ice and the presence/absence of the Beaufort duct in the experimental area. Both environmental factors are found to significantly affect the noise levels. Local ice coverage tends to decrease ambient noise at all frequencies, while the presence of the Beaufort duct tends to increase ambient noise for frequencies below 1 kHz. The lowest ambient noise levels are, thus, found when the sea is ice covered, but the duct is absent. Furthermore, the study explores the link between noise level and distant ice drift magnitude. The ambient noise levels are shown to be highly correlated with distant (up to 1400 km) ice drift for frequencies between 300 and 1500 Hz. [Work supported by the Office of Naval Research.]
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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) | 0.000 | 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".