Interactions between American lobster (<i>Homarus americanus</i>) and salmonid aquaculture in the Canadian Maritimes
Bibliographic record
Abstract
Salmonid aquaculture occurs in coastal Atlantic waters around the Canadian Maritimes and can overlap with the American lobster ( Homarus americanus) fishery, the most profitable fishery in the region. There has been debate around whether there is potential for salmonid aquaculture to negatively affect the fishery that has been heated in both the scientific community and public news media. This review and resultant commentary explore the developing research approaches used in the Canadian Maritimes to examine known and inferred interactions between these two important industries. We re-examine some inferences of previous research and identify low-oxygen environments and improper use of therapeutants as having the greatest potential to adversely affect lobsters, although there are knowledge gaps. We further discuss the implications of whether localized lobster displacement from a farm area would have any measurable impact on the lobster fishing industry as a whole, using examples from Nova Scotia, Canada. In most instances, existing regulatory compliance addresses the drivers that have the largest potential to adversely impact lobster.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".