Investigating the performance of a roller footgear in the offshore shrimp fishery of Eastern Canada using underwater video
Bibliographic record
Abstract
The offshore Northern shrimp (Pandalus borealis) fishery in Eastern Canada is currently harvested by factory freezer vessels using bottom trawls. This fishery is a major contributor to the regions’ economy, however, bottom trawling typically is associated with negative benthic impacts. We evaluated the at-sea engineering performance of a roller footgear using underwater cameras. This footgear is designed to roll, limiting negative benthic impacts and reducing fuel usage, compared to non-rolling rockhopper footgear. We describe and document a new technique for measuring the time to complete a rotation in seconds (TCR) of bosom and quarter-wing footgear sections on hard, mixed, and soft seabed. Our results showed that footgear sections were rotating at extremely low rates. Results predicted a statistically significant 184 % increase in TCR when comparing the bosom to the quarter-wing section (p = 0.035). TCR on hard seabed ranged from 23.6 s in the bosom to 43.4 s in the quarter-wing section, while mixed (from 169.0–311.1 s) and soft (from 862.6–1587.6 s) seabed types produced significantly longer TCR (p < 0.001). This study provides evidence that roller footgear is not rotating at the velocity expected by the industry and offers essential information to further develop innovative footgear with reduced seabed impact.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".