Diseases and pathogens of <i>Mustela</i> spp, with special reference to the biological control of introduced stoat <i>Mustela erminea</i> populations in New Zealand
Bibliographic record
Abstract
Controlling populations of introduced stoats is a high priority for the conservation of avian biodiversity in New Zealand Existing technology for stoat control is labour intensive and expensive, therefore new techniques and approaches, such as biological control, are needed We reviewed the literature on the diseases and pathogens of stoats, and closely related mustelids, with a view to identifying potential biological control agents Aleutian disease virus, mink enteritis virus, and canine distemper virus hold promise as agents of lethal control, though the risks to non‐target species posed by these viruses are serious Host‐specific ectoparasites such as Tnchodectes ermineae , nematodes such as Skrjabingylus nasicola , and bacteria such as Hehcobacter mustelae and Bartemella spp could have a role as vectors for the transmission of fertility control agents We urge some caution in developing biological control technology without a parallel investigation of the potential effects of biological control on stoat populations and the resulting survival of threatened birds
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".