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Record W2018399840 · doi:10.2495/dne-v4-n1-16-31

A management decision tool for mink (<i>Mustela vison</i>) control in the Western Isles of Scotland (UK)

2009· article· en· W2018399840 on OpenAlexvenueno aff
Francisco Areal, Sugoto Roy

Bibliographic record

VenueInternational Journal of Design & Nature and Ecodynamics · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsnot available
FundersDepartment for Environment, Food and Rural Affairs, UK Government
KeywordsMinkAmerican minkPredationSalmoFisheryEcologyBiologyGeography

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score0.140

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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.

Opus teacher head0.005
GPT teacher head0.240
Teacher spread0.235 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2009
Admission routes1
Has abstractyes

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