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Record W4395416295 · doi:10.15468/4rcart

Review of Grotiusomyia Girault (Chalcidoidea: Eulophidae), an exclusively New World genus, including 17 new species

2023· dataset· en· W4395416295 on OpenAlexaboutno aff
Christer Hansson

Bibliographic record

VenueGlobal Biodiversity Information Facility · 2023
Typedataset
Languageen
FieldAgricultural and Biological Sciences
TopicHymenoptera taxonomy and phylogeny
Canadian institutionsnot available
Fundersnot available
KeywordsEulophidaeGenusBiologyZoologyHymenopteraParasitoid

Abstract

fetched live from OpenAlex

This dataset contains the digitized treatments in Plazi based on the original journal article Hansson, Christer (2023): Review of Grotiusomyia Girault (Chalcidoidea: Eulophidae), an exclusively New World genus, including 17 new species. Zootaxa 5278 (1): 39-77, DOI: 10.11646/zootaxa.5278.1.2, URL: http://dx.doi.org/10.11646/zootaxa.5278.1.2AbstractThe genus Grotiusomyia Girault is reviewed based mainly on material from Costa Rica. Grotiusomyia is an exclusively New World genus now represented by 19 species, of which 17 are new species described here: G. albiclava, G. annesmithae, G. azofeifai, G. flavicoxa, G. flavimacula, G. guanacastensis, G. hansoni, G. jimenezi, G. lascrucensis, G. leucaena, G. nicoyae, G. noyesi, G. phalaros, G. pilosa, G. reticulata, G. rubii, G. septentrionalis. The two previously described species are G. nigricans (Howard) and G. flavicornis Girault. An identification key for the species is included. Two of the species, G. flavicornis and G. septentrionalis are found in North America (USA and Canada respectively), while the remaining species are from Central America and the West Indies. The biology is known for three of the species, acting as ectoparasitoids on caterpillars of various Lepidoptera groups.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.005
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.064
GPT teacher head0.249
Teacher spread0.184 · 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 designNot applicable
Domainnot available
GenreDataset

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
Published2023
Admission routes1
Has abstractyes

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