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Record W7095009007 · doi:10.5281/zenodo.17442684

Cheilosia (Pollinocheila) semifasciata Becker 1894

2025· article· W7095009007 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Language
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsSetaDorsumSternaIdentification (biology)Myosin

Abstract

fetched live from OpenAlex

Cheilosia (Pollinocheila) semifasciata Becker, 1894 Fig. 67 Chilosia semifasciata Becker, 1894: 443. Chilosia semifasciata – Barkalov 1993: 699. — Barkalov & Mutin 2018: 486. Differential diagnosis Cheilosia semifasciata is characterized by the combination of bare face, bare eye, at least base of tibiae yellow, posterior margin of scutellum with setae and ventral and dorsal pile patches on katepisternum widely separated. Easily misidentified because of inconclusive pattern on Sterna II–IV, not being uniformly shiny nor pruinose: on anterior part distinctly pruinose, on posterior part usually shiny. Males can be distinguished from similar species by the distinct pruinose spots on the abdomen (two large grey pruinose spots on terga II–IV) and the females by the scutum with erect golden pile. For identification from similar but extralimital C. fasciata Schiner & Egger, 1853, see Bot & Van de Meutter (2023). Material examined Not collected in 2018, but collected in 2019. GEORGIA • 1 ♂, Samegrelo-Zemo Svaneti; 43.1166° N, 42.7276° E; 1850 m a.s.l.; 14 Jun. 2019; X. Mengual leg.; ZFMK, ZFMK-DIP-00066393 = ZFMK-TIS-8008774. Genetics COI sequences of C. semifasciata from Europe and Caucasus cluster together with high support (BS = 100%). Remarks Barkalov (1993) reported a single female of C. semifasciata collected in Lars, a small town in the Republic of North Ossetia-Alania. Thus, our record is the first for Georgia. Distribution Europe, Caucasus (Georgia, 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 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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, 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: Other · Consensus signal: none
Teacher disagreement score0.944
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0140.001
Scholarly communication0.0030.001
Open science0.0020.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0250.013

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 head0.031
GPT teacher head0.284
Teacher spread0.253 · 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
GenreOther

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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