Évaluer le bruit des navires dans les zones de refuge provisoires des épaulards résidents du Sud
Bibliographic record
Abstract
The Government of Canada, aiming to reduce SRKW exposure to underwater noise from vessels, implemented Interim Sanctuary Zones around Saturna and Pender Islands (Salish Sea) from 1 June to 31 October 2019. JASCO Applied Sciences (JASCO) performed a study to quantify vessel noise both with and without the implementation of these zones to estimate their effectiveness in reducing vessel noise levels within the zones. JASCO’s cumulative noise model was applied for each zone to predict monthly averaged noise levels associated with vessel traffic conditions before and during the implementation of the sanctuary zones. The effectiveness of these zones is assessed quantitatively according to the estimated changes in noise levels. The results, which consider multiple commercial, government and recreational vessel classes, show that this mitigation approach would result in a decrease of unweighted noise levels by, on average, 0.5 (±0.4) dB within the Saturna Island Interim Sanctuary Zone and 3.0 (±1.0) dB within the Pender Island Interim Sanctuary Zone. The decrease is greater for audiogram-weighted noise levels: 2.2 (±1.1) dB and 4.6 (±1.3) dB, respectively. These results are based on an idealized level of compliance by vessels in the area, and accounts for the exemptions stated in the 2019 Interim Order.
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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 | 0.001 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 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".