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Record W7095000573 · doi:10.5281/zenodo.17442633

Cheilosia (Cheilosia) cynocephala Loew 1840

2025· article· W7095000573 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Language
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced Electron Microscopy Techniques and Applications
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsBlack seaCharacter (mathematics)Black spotCarapaceTaxonomy (biology)

Abstract

fetched live from OpenAlex

Cheilosia (Cheilosia) cynocephala Loew, 1840 Fig. 26 Chilosia cynocephala Loew, 1840: 32. Differential diagnosis Cheilosia cynocephala is especially similar to C. confusa sp. nov. and C. vernalis. It has a blue body shine; in contrast, in C. confusa and C. vernalis the body shine is black or brown. Usually, the female of C. cynocephala has faint, blackish cloud in the wing (but this characteristics is missing in the only Caucasian studied specimen), missing in the other two species. Another character to exclude C. confusa is the predominantly black pile on the scutum (predominantly yellow pilose in C. confusa). Other characters to exclude C. vernalis are: parafacia wide and pruinose in C. cynocephala (narrower and shiny in C. vernalis), scutum covered largely with black pile (in C. vernalis pile varying from yellow to black) and tarsus of mesoleg black (in C. vernalis often basal two tarsomeres orange). Material examined GEORGIA – Samtskhe-Javakheti • 1 ♀; Borjomi; 41.838 ° N, 43.337 ° E; 910 m a.s.l.; 2 Sep. 2019; J. Mortelmans leg.; FMT. Genetics All DNA barcodes of C. cynocephala (from Finland and Spain; see Ballester-Torres et al. 2024) are recovered together with low support value (BS<90%). Remarks Reported from the Caucasus for the first time. Distribution Europe, Western Siberia and Caucasus (Georgia).

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 categoriesMeta-epidemiology (narrow), Science 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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.946
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0010.000
Open science0.0020.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.014
GPT teacher head0.301
Teacher spread0.287 · 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 routes1
Has abstractyes

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