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Record W2611471938 · doi:10.1071/am16050

Aspects of the ecology of the Atherton antechinus (Antechinus godmani) living in sympatry with the rusty antechinus (A. adustus) in the Wet Tropics, Queensland – a trapping and radio-tracking study

2017· article· en· W2611471938 on OpenAlexaff
Geoffrey C. Smith, Kath Means, S. K. Churchill

Bibliographic record

VenueAustralian Mammalogy · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsDouglas College
Fundersnot available
KeywordsBiologyEcologyNest (protein structural motif)Arboreal locomotionSympatryZoologySympatric speciationHabitat

Abstract

fetched live from OpenAlex

The ecology of the geographically restricted Atherton antechinus (Antechinus godmani) is poorly known. This trapping and radio-tracking study provides historical baseline information on its ecology. The Atherton antechinus foraged primarily at night in deep leaf litter and rotting logs. The sympatric, smaller rusty antechinus (A. adustus) was arboreal and active both day and night, suggesting resource partitioning between species. The diet of the Atherton antechinus included a significant component of beetles, centipedes, spiders, cockroaches, crickets, and ants; minor items included a frog and a skink. Declines in male condition of both antechinus species occurred in June–July. Free-living young of the rusty and the Atherton antechinus were first trapped in November and January, respectively. Minimum convex polygon home ranges for the Atherton antechinus were 2.5–5.8 ha for males and 3.6 ha for a female. Multiple nest sites were used by individual Atherton antechinuses with simultaneous sharing of nests observed only between sexes. A home range of a single female was overlapped by the home ranges of numerous males. The Atherton antechinus prefers contiguous areas of wet tropical upland rainforest with old-growth characteristics, including large old trees for nest sites, fallen woody debris and deep leaf litter for foraging. The impacts of climate change could be devastating.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.232
Teacher spread0.219 · 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 designObservational
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

Citations5
Published2017
Admission routes1
Has abstractyes

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