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Record W6930817442 · doi:10.5281/zenodo.15218691

Acrosathe Irwin & Lyneborg 1981

2025· article· en· W6930817442 on OpenAlexaffabout

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Medicine and Surgery
Canadian institutionsRoyal British Columbia Museum
Fundersnot available
KeywordsHolarcticGenusKey (lock)HabitatTaxonomy (biology)Identification (biology)Meristics

Abstract

fetched live from OpenAlex

Acrosathe Irwin & Lyneborg Acrosathe is a Holarctic and Oriental genus (Webb 2009). Males usually are covered in silver-white hairs, at least on the abdomen. Many species live on coastal sand dunes but others inhabit mountains and are often found on lake beaches and other sandy habitats near water. Webb (2009) gives keys to the males and females of the North American species. Acrosathe otiosa (Coquillett) is the only species of the genus previously recorded from British Columbia and Canada (Webb et al. 2013). All specimens of Acrosathe from British Columbia that we have examined key to A. vialis, based on wing colour and most male genitalic characters. This even includes some specimens identified as A. otiosa by D.W. Webb, the revisor of the genus and author of the species identification key (Webb 2009). In one case, specimens collected at the same place, on the same date, by the same collector were identified as both A. otiosa and A. vialis; males as the former, females as the latter. Acrosathe otiosa and A. vialis are very similar morphologically and distinguishing them is problematic as some of the diagnostic characters are somewhat variable. For the purposes of this study, we include A. vialis as a British Columbia species but also accept A. otiosa because of the identifications of unexamined specimens in databases and the literature. This study is not a revisionary systematic work; we expect future work on the genus will clarify this taxonomic confuseion.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.667
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0170.010

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 head0.082
GPT teacher head0.324
Teacher spread0.242 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2025
Admission routes2
Has abstractyes

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