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Record W2520118757 · doi:10.3897/zookeys.617.9178

Five new species of Trigonopeltastes Burmeister and Schaum from Central America with new country records for other New World Trichiini (Coleoptera, Scarabaeidae, Cetoniinae)

2016· article· en· W2520118757 on OpenAlexaffabout
Andrew B. T. Smith

Bibliographic record

VenueZooKeys · 2016
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicScarabaeidae Beetle Taxonomy and Biogeography
Canadian institutionsCanadian Museum of Nature
Fundersnot available
KeywordsScarabaeidaeBATESScarabaeoideaGeographyBiologyZoologyEngineering

Abstract

fetched live from OpenAlex

Five new species of Trigonopeltastes Burmeister and Schaum, 1840 are described: Trigonopeltastes arborfloricola sp. n. from Nicaragua, Trigonopeltastes formidulosus sp. n. from Costa Rica, Trigonopeltastes henryi sp. n. from Costa Rica, Trigonopeltastes mombachoensis sp. n. from Nicaragua, and Trigonopeltastes warneri sp. n. from Belize and Guatemala. An updated key to species of Trigonopeltastes is presented. Trigonopeltastes nigrinus Bates, 1889 and Trigonopeltastes carus Bates, 1889 are placed in synonymy with Trigonopeltastes geometricus Schaum, 1841, syn. n.. The males of Trigonopeltastes aurovelutinus Curoe, 2011 and Trigonopeltastes simplex Bates, 1889 are described for the first time. New country records are given for the following: Giesbertiolus ornatus Howden, 1988: Costa Rica; Paragnorimus sambucus Howden, 1970: Guatemala; Trichiotinus bibens (Fabricius, 1775): Canada; Trigonopeltastes archimedes Schaum, 1841: Guatemala and Costa Rica; Trigonopeltastes frontalis Bates, 1889: Belize, Guatemala, and Honduras; Trigonopeltastes glabellus Howden, 1988: Guatemala; Trigonopeltastes geometricus Schaum, 1841: Honduras; Trigonopeltastes sallaei sallaei Bates, 1889: Guatemala and Honduras; Trigonopeltastes simplex Bates, 1889: Mexico; Trigonopeltastes variabilis Howden, 1968: Honduras.

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 score0.031
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.002
Science and technology studies0.0020.002
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.015
GPT teacher head0.191
Teacher spread0.177 · 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

Citations5
Published2016
Admission routes2
Has abstractyes

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