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Record W3088253624 · doi:10.1649/0010-065x-74.3.585

Habitat Associations and Phenology of Sand Dune Hister Beetles in the Grasslands of Western Canada (Coleoptera: Histeridae)

2020· article· en· W3088253624 on OpenAlexaffabout
John Acorn, Chen X. Kee, James R. N. Glasier

Bibliographic record

VenueThe Coleopterists Bulletin · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInsect and Arachnid Ecology and Behavior
Canadian institutionsMagna International (Canada)University of Alberta
Fundersnot available
KeywordsEcologyPhenologyVegetation (pathology)BiologyGrasslandHabitatSand dune stabilization

Abstract

fetched live from OpenAlex

Histerid beetle (Histeridae) phenology and habitat associations were inferred from specimens collected in pitfall traps on a grassland dune field near Empress, Alberta, Canada, during 3 May to 27 August 1984. Four vegetation associations were identified by cluster analysis (Scurf Pea, Open Sand, Stabilized Dune, and Sand Flat) and 516 histerid beetles, representing 11 species, were collected in these zones, with an additional three species collected without microhabitat data. Beetles were most strongly associated with the Scurf Pea vegetation type, and less than 50% ground cover. The two most abundant species, Hypocaccus iris (Fall) and Hypocaccus seminitens (J. L. LeConte), were most active during June and early July, consistent with the proposition that all species in this assemblage overwinter as long-lived adults.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.169
Threshold uncertainty score0.955

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.012
GPT teacher head0.218
Teacher spread0.206 · 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 teacher head, 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

Citations0
Published2020
Admission routes2
Has abstractyes

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