Fish recordings from NEPTUNE Canada
Bibliographic record
Abstract
NEPTUNE Canada is a regional-scale ocean observing system deployed off the west coast of Vancouver Island, Canada. Among the data streams broadcast live over the internet are video collected using black and white low-light camera and audio collected with Naxys hydrophone (5 - 3,000 Hz). These data allow for description of sound production by fishes in the vicinity of the system. Concurrent video and hydrophone data are available from the Barkley Canyon node (~900 m depth). While the hydrophone recordings were continuous, strobes for video are only turned on during short, irregular (~10 min) intervals. Approximately 30 h of concurrent video and audio recordings were analyzed. The most commonly seen fish was sablefish (Anoplopoma fimbria), and the most common fish-like sound was a broadband, short pulse that occurred on nearly half of the recordings. On approximately one-fifth of concurrent video and audio recordings both sablefish and fish-like pulsed sounds were detected. It may be possible to use these sounds to monitor sablefish abundance across the northeastern Pacific Ocean. NEPTUNE Canada Data Archive, http://www.neptunecanada.ca, hydrophone and video data from May, June, August, and December 2010 and January and February 2011, Oceans Networks Canada, University of Victoria, Canada. Downloaded 2012.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.004 |
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".