Evaluating potential biodegradable twines for use in the snow crab fishery off Newfoundland and Labrador
Bibliographic record
Abstract
Several technological advancements exist for the purpose of disabling baited traps if they are lost or abandoned at sea. In this study, we investigated various biodegradable twines for their potential use in the snow crab (Chionoecetes opilio) fishery off Newfoundland and Labrador, Canada. The twines were deployed at sea for a duration of 124 days to measure degradation in breaking strength (kgf) over time. Results revealed significant variation in degradation rates among the twine types tested. Among the best performing twines, was the 3-ply cotton 96-thread twine. This twine exhibited a rapid and noticeable decline in breaking strength over the period of study with a total reduction of 63% of the initial strength upon conclusion of the study. This particular twine is now a mandatory condition of licence for all fishing enterprises targeting snow crab in the province of Newfoundland and Labrador.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".