Biological contributions to the soundscape at the Main Endeavour and Lucky Strike hydrothermal vent fields
Bibliographic record
Abstract
Deep sea hydrothermal vents host unique marine life adapted to survive in the high-temperature, caustic environment created by the geothermally heated vent fluid expelled from the seafloor. Some of these organisms produce sound, and it has been hypothesized that some may also use sound produced by hydrothermal vents as a cue for habitat settlement. Thus, an understanding of the acoustic environment at hydrothermal vent fields and the biological contribution to the soundscape is a critical component of an effective environmental monitoring strategy. Hydrophone measurements at the Main Endeavour vent field (MEF, from Ocean Networks Canada’s NEPTUNE observatory) and the Lucky Strike hydrothermal vent field (from the European Multidisciplinary Seafloor and water column Observatory) were analyzed to detect and quantify transient acoustic signals, which may be of biological origin. Potential source mechanisms are hypothesized, and comparisons are made between contemporaneous video and audio recordings at MEF to aid in source identification. These biological signals are also presented in the context of the broader soundscape at both sites. Implications to the establishment of baseline acoustic conditions at hydrothermal vent fields and environmental monitoring are discussed.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".