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Record W1973045037 · doi:10.1071/am09024

Activity patterns of the southern hairy-nosed wombat (Lasiorhinus latifrons) (Marsupialia : Vombatidae) in the South Australian Murraylands

2010· article· en· W1973045037 on OpenAlex

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

VenueAustralian Mammalogy · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsKingswood University
Fundersnot available
KeywordsMarsupialMonotremeNocturnalBiologyMammalZoologyEcologyAridTaxonomy (biology)

Abstract

fetched live from OpenAlex

The southern hairy-nosed wombat (Lasiorhinus latifrons) is a large, semifossorial, herbivorous marsupial, adapted to a harsh and unpredictable environment in semi-arid Australia. Limited information is available on the biology and general behaviour of the species. The present study examines monthly variability in ‘nocturnal’ activity patterns. Data-loggers were used to investigate the effect of climate on 57 months of activity patterns of 18 wombats between 1999 and 2004. The average period of activity across the study was 6.27 ± 0.24 h in duration across the study. Multiple excursions above ground were more common in September and significantly correlated with both available water and median temperature. Periods of activity were strongly correlated with temperature across the entire study.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.224
Teacher spread0.211 · 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