Evaluation of a Portable Underwater Video Camera to Study Fish Communities in Two Lake Ontario Tributaries
Bibliographic record
Abstract
ABSTRACT We evaluated the suitability of a portable underwater camera to characterize fish communities and streambed particle sizes in two Lake Ontario tributaries. Two video sampling methods were used—quadrat (a stationary camera with a fixed viewing area) and line sampling (camera walked through the stream). Compared to electrofishing surveys, underwater camera data suggested simpler fish communities (biased towards salmonids) and smaller sized fish. Shallow water depths, turbulence, and obstructions (eg., woody debris) limited our ability to identify fish during some of the video samples. Video sampling was able to detect a decreasing trend of fish abundance as water temperatures declined over the course of the study. There was also a strong agreement between measurements of streambed particle sizes done manually in the field and those done with both video sampling methods. The results suggest that a portable underwater camera system could be used to measure seasonal changes in habitat use by salmonid fish species and certain habitat features in streams and rivers.
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How this classification was reachedexpand
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 | 0.004 | 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) | 0.014 | 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 teacher head, 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".