Biofouling in Salmon Aquaculture: the effectiveness of alternative netting materials and coatings in coastal British Columbia
Bibliographic record
Abstract
Biofouling in salmon aquaculture is an important issue. The use of copper based antifoulants contributes to marine pollution and managing biofouling on untreated nets incurs a heavy cost on the industry. What is needed is an antifoulant coating that balances the needs of the industry with good environmental practices. This study describes the effectiveness of seven alternative netting treatments and two copper based treatments as compared to an untreated nylon net. Effectiveness was measured in terms of percent net occlusion, percent cover of major fouling groups and biomass. Following eight months immersion, results show that the alternative treatments did not out-perform the untreated nylon control, and that the two copper treatments significantly outperformed the control and all of the alternative treatments tested in this study. The results demonstrate that the alternative treatments tested in this study were unable to meet the performance standards set by industry, that more research is needed into alternative antifoulant coatings for aquaculture, and that the effectiveness of copper based treatments will continue to be a barrier to the implementation of alternative antifouling treatments.
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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 | 0.000 | 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".