A management decision tool for mink (<i>Mustela vison</i>) control in the Western Isles of Scotland (UK)
Bibliographic record
Abstract
Dynamic ecological-economic modelling was used to conduct a comprehensive analysis of the economic impacts of the American mink (Mustela vison) on a marketable, exploitable, native species Salmon (Salmo salar) reared in fi sh farms in the Western Isles.A cost-benefi t analysis of the different mink control options, including a 'doing nothing' option as a baseline, was conducted.Biological and economic data as well as the assumptions used in the simulations are based on scientifi c literature and from a 5-year mink control project on the Western Isles.Results suggest mink eradication as the best long-term strategy for an isolated fi sh farm being affected by predation.However, 'doing nothing' would be the best option if average market prices for farmed salmon are low over a long period of time and/or the pest control manager overestimates the area being impacted by mink.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".