MétaCan
Menu
Back to cohort
Record W6950289138 · doi:10.5281/zenodo.5929774

Scaeva (Scaeva) pyrastri

2019· article· en· W6950289138 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBryophyte Studies and Records
Canadian institutionsnot available
Fundersnot available
KeywordsMuscaArable landLarvaWadiType (biology)

Abstract

fetched live from OpenAlex

Scaeva (Scaeva) pyrastri (Linnaeus, 1758) Musca pyrastri Linnaeus, 1758: 594. Type locality: Sweden (Svecia). Musca rosae De Geer, 1776: 108. Unjustified new name for Musca pyrastri Linnaeus. Musca mellina Harris, 1780: 30. Type locality: England. Scaeva corrusca Gravenhorst, 1807: 375. Type locality: Germany (not given). Scaeva affinis Say, 1823: 93. Type locality: USA (Arkansas). Scaeva unicolor Curtis, 1834: 509. Type locality: Great Britain (England: the neighborhood of London). Syrphus pyrastri var. flavoscutellatus Girschner, 1884: 197. Type locality: Germany (Thüringen). World distribution: NE: Canada, USA. OR: India, Pakistan. PA: Afghanistan, Algeria, Canary Is., China, Egypt, Europe (widespread), Madeira, Mongolia. Egyptian localities: Eastern Desert: Wadi Rishrash [Shaumar & Kamal (1978)]. Activity period in Egypt: March. Remarks: This is a highly mobile species, usually exploiting concentrations of aphids wherever it finds them. Adults are fast fliers, usually within 3m of the ground; they are frequently encountered flying around bushes and shrubs in a slow and purposeful manner, only to speed away after 30 seconds or so. It is to a significant extent anthropophilic, occurring in arable crops, hedgerows, orchards, gardens and conifer plantations. In Europe, it has been recorded visiting an extensive list of flowers, especially the Umbelliferae (De Buck 1990; Speight 2017). In Egypt the larvae were seen feeding ravenously on aphids (Efflatoun 1922).

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 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.578
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
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0330.018

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 head0.022
GPT teacher head0.203
Teacher spread0.181 · 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
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicBryophyte Studies and RecordsFrench-language works237,207