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Record W2788630672 · doi:10.11646/zootaxa.4388.1.12

Redescription and new records of Ontholestes brasilianus Bernhauer, 1906 (Coleoptera: Staphylinidae: Staphylininae) 

2018· article· en· W2788630672 on OpenAlexaboutno aff
Vinícius da Costa‐Silva, Angélico Asenjo, Alfred F. Newton, Patrícia Jacqueline Thyssen

Bibliographic record

VenueZootaxa · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicColeoptera Taxonomy and Distribution
Canadian institutionsnot available
FundersCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsAedeagusBiologyNearctic ecozoneGenusKey (lock)HemipteraEcologyZoologyTaxonomy (biology)

Abstract

fetched live from OpenAlex

The genus Ontholestes Ganglbauer includes 35 species distributed mainly in Eurasia, with a few additional species in Africa and North and South America (Herman, 2001; Yang Zhou, 2012; Smetana Shavrin, 2013; Rougemont, 2016). According to Asenjo et al. (2013), the South American record of the Palearctic species Ontholestes murinus (Linnaeus, 1758) for Brazil made by J. Guérin (1953) seems doubtful. Ontholestes murinus was recorded for the first time outside the Palaearctic region by Smetana (1981), from Newfoundland, in Canada, as an adventive species (e.g., Downie and Arnett, 1996; Brunke et al., 2011), but its occurrence in Brazil remains to be confirmed; if the Guérin (1953) record was based on a mistaken identification or mislabeled specimen, this would reduce the number of species distributed in this region from two to one. With respect to O. brasilianus Bernhauer, although it has been confirmed for Peru, Brazil and Argentina (Herman, 2001; Asenjo et al., 2013; Newton, 2015; Newton Caron, 2015), no specific localities of occurrence have been reported since its description in 1906. Thus, to solve problems of misidentification with Neotropical species of this genus, in this study we redescribe Ontholestes brasilianus and provide the first illustrations of the beetle including its aedeagus and a short key for South American species. Additionally, new records from South America are listed here.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.768
Threshold uncertainty score0.783

Codex and Gemma teacher scores by category

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

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 head0.033
GPT teacher head0.236
Teacher spread0.203 · 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 teacher head, 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

Citations0
Published2018
Admission routes1
Has abstractyes

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