Preliminary examination of sounds produced by Pacific salmon (<i>Oncorhynchus</i> spp.) during their fall spawning migration
Bibliographic record
Abstract
A preliminary description of sounds produced by three species of Pacific salmon was conducted to address the lack of quantified call characteristics in previous studies. Wild Chinook salmon (Oncorhynchus tshawytscha), pink salmon (O. gorbuscha), and coho salmon (O. kisutch) were diverted from a natural spawning migration in the Big Qualicum River located on Vancouver Island, British Columbia, Canada and held in the adjacent hatchery during the 2017 fall migration. Underwater sounds were opportunistically recorded continuously over four week in holding raceways containing Chinook only, coho only, or mixed pink and Chinook salmon, and examined for sounds. All groups produced sounds in three categories based on mechanism: hydrodynamic (surface splash), air movement (miscellaneous and 7 named types), and unknown mechanism (pulse). Pulse, gill-bubble fast repetitive tick air movement sounds, and miscellaneous air movement sounds occurred in all groups and differences in some characteristics of sounds were found between the species groups. Additionally, even though pink salmon were not recorded separately, data suggest they produce a very fast repetitive tick air movement sound more often compared to Chinook salmon. Our results represent the first detailed description of the types and characteristics of sounds produced by wild Pacific salmon.
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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 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".