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Record W2070561304 · doi:10.3897/bdj.2.e4167

First record of the genus Venanus (Hymenoptera: Braconidae: Microgastrinae) in Mesoamerica, with the description of two new species from Costa Rica

2014· article· en· W2070561304 on OpenAlexafffund
José Fernández-Triana, James Whitfield, M. Alex Smith, Winnie Hallwachs, Daniel H. Janzen

Bibliographic record

VenueBiodiversity Data Journal · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicHymenoptera taxonomy and phylogeny
Canadian institutionsUniversity of Guelph
FundersInternational Conservation Fund of CanadaOntario Genomics InstituteGuanacaste Dry Forest Conservation FundOntario GenomicsGenome CanadaForest Conservation FundJRS Biodiversity FoundationUniversity of PennsylvaniaGovernment of CanadaWege FoundationEntomological Society of America
KeywordsBraconidaeHymenopteraMesoamericaGenusParasitoidKey (lock)BiologyZoologyEcologyGeographyArchaeology

Abstract

fetched live from OpenAlex

The New World genus Venanus (Hymenoptera: Braconidae: Microgastrinae) is a small group of parasitoid wasps that includes two Nearctic and seven Neotropical species. Here two additional species, authored by Fernández-Triana & Whitfield, are described from Costa Rica: V.johnnyrosalesi sp. n. from Area de Conservación Guanacaste (ACG) and V.randallgarciai sp. n. from Area de Conservación Cordillera Volcanica Central. They represent the first record of the genus for Mesoamerica. A previous key to all known Venanus (Whitfield et al. 2011) is modified to include the new species. The Costa Rican species were collected at altitudes of 1,400-1,460 m, but nothing is known of their biology. DNA barcodes were obtained for both species and are included as part of the description along with extensive photos. This paper is part of a series inventorying the diversity of Microgastrinae in ACG.

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 score0.013
Threshold uncertainty score0.026

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 studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.044
GPT teacher head0.197
Teacher spread0.154 · 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

Citations3
Published2014
Admission routes2
Has abstractyes

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