Assessment of sound attenuation by submerged aquatic vegetation in shallow freshwaters
Why this work is in the frame
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Bibliographic record
Abstract
Acoustic propagation measurements were conducted in the shallow freshwater of Lake St. Pierre, a widening of the St. Lawrence River between Montréal and Trois-Rivières. Two (2) calibrated acoustic projectors were used to cover a mid-to-high frequency range between 2-60 . Sites across the lake were selected to span a broad gradient of submerged aquatic vegetation (SAV) density, estimated semi-quantitatively through effective percent cover, to evaluate its impact on sound attenuation. Vegetation-induced excess propagation loss over 10 ranged from near 0 re 1 at sparsely vegetated sites to approximately 60 re 1 where SAV dominated the O 2 -supersaturated water column. The strongest attenuation occurred between 15-17 , consistent with the resonance scattering of sub-millimetric photosynthetic air bubbles. However, measurable attenuation across a wider frequency band suggests a broader distribution of bubble sizes and additional vegetation-related mechanisms. This study highlights the potential role of SAV in attenuating mid- to high-frequency acoustic energy, which may contribute to noise mitigation in freshwater ecosystems hosting a wide diversity of aquatic species.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 it