Toxicity of emamectin benzoate in commercial fish feed to adults of the spot prawn and dungeness crab
Bibliographic record
Abstract
Sea lice infestations of net-penned Atlantic salmon can result in significant economic losses to the salmon aquaculture industry in Canada. As a means to control the deleterious effects of the sea lice infestations prophylactic drug treatments are prescribed to control the problem. Use and application in Canada of these drugs is regulated in order to protect indigenous species and the aquatic environment in general. To-date limited toxicological studies with these drugs have been conducted on non-targeted benthic organisms or opportunistic feeders. Even fewer toxicological studies have been conducted using geographically relevant species. Emamectin benzoate is a drug that has proven successful in the control of sea lice infestations in net-penned salmon. Other than toxicological studies from the United Kingdom and Scandinavia there are limited relevant studies that are applicable to Canadian waters or species. Until the work detailed here, the only other toxicological data available was from the East Coast of Canada. The St. Andrew's Marine laboratory of the Canadian Department of Fisheries and Oceans (DFO) had been the sole laboratory to study the acute toxicological effects of emamectin benzoate in Canada. In this joint Schering-Plough/spl bsol/DFO- St. Andrew's Marine Laboratory study the Atlantic lobster was the targeted organism for toxicological testing.
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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 | 0.000 |
| 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) | 0.002 | 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".