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Record W7103893612 · doi:10.5281/zenodo.17514987

Cheilosia (Cheilosia) velutina Loew 1840

2025· article· W7103893612 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Language
FieldAgricultural and Biological Sciences
TopicDiptera species taxonomy and behavior
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsGynoeciumSetaCropHeliconiusTaxonomy (biology)

Abstract

fetched live from OpenAlex

Cheilosia (Cheilosia) velutina Loew, 1840 Fig. 78 Chilosia velutina Loew, 1840: 33. Chilosia velutina – Stackelberg & Richter 1968: 249. — Stackelberg 1970: 64. — Peck 1988: 119. — Barkalov 1993: 724. — Mengual et al. 2020: 22. Cheilosia velutina Loew, 1848 [sic] – Gujabidze 2002: 245. Differential diagnosis Cheilosia velutina is a member of a group of closely related species, called the proxima group (Vujić et al. 2013) in which the pilose eyes, posterior margin of scutellum with setae, usually partly yellow legs, continuously pilose katepisternum, pruinose sterna and the shape of postgonite are distinctive characters. For a full diagnosis of the Cheilosia proxima group and for figures of the male genitalia of C. velutina, see Vujić et al. (2013). Within the proxima group C. velutina is best identified by the poorly developed facial tubercle, resulting in the face being almost flat between facial tubercle and postclypeus (Fig. 78B, D) (in the other species, facial tubercle well-developed, face in lateral view obviously concave between facial tubercle and postclypeus). Moreover, no other species in the proxima group have the combination of the postpedicel usually orange at least basoventrally and scutum coarsely punctured like in C. velutina. Material examined Species not collected. Genetics DNA barcodes of European specimens of C. velutina cluster together with high support (BS = 100%). Distribution Palaearctic. Within the Caucasus reported from Azerbaijan and Russia.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.002

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 head0.044
GPT teacher head0.242
Teacher spread0.199 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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