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Record W1988732925 · doi:10.11646/zootaxa.3616.6.1

Microgastrinae (Hymenoptera: Braconidae) of Reunion Island: a catalogue of the local species, including 18 new taxa and a key to species

2013· article· en· W1988732925 on OpenAlexaff
Pascal Rousse, Ankita Gupta

Bibliographic record

VenueZootaxa · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicHymenoptera taxonomy and phylogeny
Canadian institutionsMinnow Environmental (Canada)
Fundersnot available
KeywordsBiologyBraconidaeKey (lock)HymenopteraBotanyFaunaGenusTaxonomy (biology)TaxonZoologyParasitoidEcology

Abstract

fetched live from OpenAlex

Microgastrine wasps (Hymenoptera: Braconidae) are primary parasitoids of Lepidoptera. Some of them parasitise major economic pests and have been largely used for biocontrol programs. We revise here the fauna of Reunion Island: 34 species were recorded, belonging to 13 genera. One genus and 18 species are newly described: Dodogaster gen. nov, Apanteles minatchy sp. nov., A. pashmina sp. nov., A. romei sp. nov., Cotesia xavieri sp. nov., Dolichogenidea ashoka sp. nov., D. broadi sp. nov., D. lumba sp. nov., D. uru sp. nov., D. villemantae sp. nov., Distatrix yunae sp. nov., Dodogaster grangeri sp. nov., Exoryza safranum sp. nov., Glyptapanteles chidra sp. nov., Nyereria ganges sp. nov., N. mayurus sp. nov., Parapanteles covino sp. nov., P. darignac sp. nov. and Wilkinsonellus narangahus sp. nov.. On the remaining 16 species, 12 are new distribution records. Finally, Glyptapanteles antsirabensis (Granger) comb. nov., G. ficus (Granger) comb. nov., G. subandinus (Blanchard) comb. nov., and Venanides curticornis (Granger) comb. nov. are reassigned from the traditionally defined Apanteles genus to these respective genera. A key to all genera and species is provided.

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: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.002

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 head0.028
GPT teacher head0.206
Teacher spread0.178 · 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

Citations21
Published2013
Admission routes1
Has abstractyes

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