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Record W6968543396 · doi:10.5281/zenodo.15357506

Dolichogenidea carlosviquezi Fernandez-Triana & Boudreault 2025, sp. nov.

2025· article· en· W6968543396 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Languageen
FieldEngineering
TopicArchitecture and Computational Design
Canadian institutionsUniversity of GuelphParks Canada
Fundersnot available
KeywordsOvipositorVomerMargin (machine learning)DNA barcodingSequence (biology)

Abstract

fetched live from OpenAlex

Dolichogenidea carlosviquezi Fernandez-Triana & Boudreault sp. nov. Fig. 39 A – G Type material. Holotype. Costa Rica • Female, CNC; Guanacaste, Area de Conservación Guanacaste, Santa Rosa National Park, site # H-10; 300 m; 1–29.xi.1986; Gauld & Janzen leg.; Malaise trap; Voucher code: CNC 1179847. Diagnostic description. Scutellar disc entirely smooth and shiny; propodeum with carinae clearly defining a more or less complete areola; T 1 and T 2 smooth; T 1 evenly narrowing towards posterior margin (T 1 width at anterior margin 2.2 × T 1 width at posterior margin); ovipositor sheath comparatively much shorter, its length (0.29 mm) 0.50 × metatibia length (0.62 mm); legs mostly yellow or pale brown, with all coxae brown, metafemur pale brown and metatibia yellow with posterior 0.3 pale brown; body length: 1.90 mm; fore wing length: 2.10 mm. This species can be recognized by the unique combination of entirely smooth scutellar disc, T 1 and T 2, short ovipositor sheaths, narrowed T 1, small body size and comparatively pale brown legs. Distribution. Costa Rica. Biology. No host data available. DNA barcoding data. No data. Etymology. Named in honor of Sr. Carlos Viquez of Costa Rica in recognition of his willingness to sell his forested property to the Guanacaste Dry Forest Conservation Fund for incorporation in the restoration efforts of Area de Conservación Guanacaste in 2021.

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 categoriesInsufficient 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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.960
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.003

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 head0.017
GPT teacher head0.226
Teacher spread0.209 · 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
Published2025
Admission routes1
Has abstractyes

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