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Record W1982099321 · doi:10.1071/wr07167

A bait-suspension device for the control of feral cats

2008· article· en· W1982099321 on OpenAlex
Dave Algar, R. I. Brazell

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueWildlife Research · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHuman-Animal Interaction Studies
Canadian institutionsDepartment of Environment and Conservation
Fundersnot available
KeywordsThreatened speciesWildlifeFeral catInvasive speciesIntroduced speciesBiologyEcologyPest controlWildlife conservationFaunaHabitatPredationFelis catus

Abstract

fetched live from OpenAlex

The use of poison baits is an effective method for controlling feral cats. However, take of baits by non-target animals may place those animals at risk of poisoning and also reduces the availability of baits to the target animal, feral cats. Therefore, techniques that reduce non-target take of baits are desirable. Earlier trials have suggested that suspending baits might prevent most non-target animals from removing the baits while maintaining their attractiveness and availability to feral cats. This paper assesses the efficacy of a bait-suspension device to provide a relatively simple means of controlling feral cats (across age and sex classes). In addition, it confirms the high target specificity of the bait-delivery mechanism on Australia’s Christmas Island, where non-target species would have posed a problem with baits laid on the ground. The technique may have potential application on other islands where similar non-target species are threatened by baiting programs or at specific sites on the mainland where aerial or on-track deployment of feral cat baits may pose an unacceptable risk to non-target species.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.663
Threshold uncertainty score0.262

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.128
GPT teacher head0.451
Teacher spread0.323 · 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