The Mars Database – Source Levels Measured for the Fleet Navigating the St. Lawrence Estuary
Bibliographic record
Abstract
It is assumed within the oceanographic community that anthropogenic noise can affect negatively a wide variety of marine species. To better assess its main source, the shipping noise, the MARS (Marine Acoustic Research Station) station consisting of vertical hydrophone arrays was deployed in the St-Lawrence Estuary along the upstream shipping lane. The station was designed to allow high quality measurement of the ships source levels following the ANSI/ASA S12.64-2009 and ISO-17208-1 standards. It is part of the MARS project which aims to study shipping noise both underwater and onboard ships and to propose reduction methods. Since 2021, a database of over 1000 acoustic signatures have been collected, including 173 high-resolution signatures from partner ships that followed an optimized trajectory for the acoustic measurements. This database will be used by governmental authorities, such as Transports Canada, for decision making regarding the shipping noise and by the scientific community for research purposes.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".