MétaCan
Menu
← Back to cohort
Record W6949393020 · doi:10.5281/zenodo.14754708

Anisocyrta perdita Haliday 2018

2025· article· en· W6949393020 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicAquatic Ecosystems and Phytoplankton Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsWingVeinMandible (arthropod mouthpart)Ovipositor

Abstract

fetched live from OpenAlex

Anisocyrta perdita Haliday, 2018 Figs 7–8 Alysia perdita Haliday, 1838: 241; Thomson 1895: 2298–2299. Anisocyrta perdita; Marshall 1895: 368–369; Shenefelt 1974: 956; Belokobylskij 1998: 286–287, 2003: 357. Material examined. 1 ♀ (ZJUH), China, Hebei, Mt. Xiaowutai, Jinhekou, 23.viii.2005, Zhang Hongying, No. 200609041. Short redescription. Body brown (Fig. 7); body length of ♀ 2.9 mm, length of fore wing of ♀ 3.7 mm, antenna yellowish brown, incomplete, with 24 antennomeres remain (Fig. 8O); mandible yellowish, with fourth tooth distinctly visible (Fig. 8L); pronope shallow and small (Fig. 8I), side of pronotum (partly) granulate anteriorly (Fig. 8C); mesoscutum smooth, shiny and glabrous; notauli absent; medio-posterior depression rather long, elliptica (Fig. 8D); vein m-cu of fore wing slightly postfurcal, vein issued at base of pterostigma, vein 1-SR of fore wing 1.6 × vein 3-SR (Figs 8A–B); legs rather yellowish; length of first tergite of metasoma 1.1 × longer than apical width (Fig. 6F); length of ovipositor sheath 0.5 × as long as fore wing and 1.5 × the body (Fig. 6G). Biology: Unknown. Distribution. Austria, Canada, Bulgaria, Czech Republic, Finland, Germany, Italy, Mongolia, Netherlands, Norway, Poland, Russia, Slovenia, Sweden, Switzerland, United Kingdom, China (Hebei, Ningxia). Ningxia is a new record.

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)0.000
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: none
Teacher disagreement score0.020
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0200.005

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 head0.016
GPT teacher head0.227
Teacher spread0.211 · 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

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)→Same topicAquatic Ecosystems and Phytoplankton Dynamics→French-language works237,207→