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Record W6912843559 · doi:10.5281/zenodo.7226469

Trachyscelida Horn 1893

2022· article· en· W6912843559 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2022
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicEvolution and Paleontology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGenusKey (lock)French hornTribeTaxonomy (biology)

Abstract

fetched live from OpenAlex

Genus Trachyscelida Horn, 1893 Trachyscelida Horn, 1893: 107 (type species Agelastica bicolor LeConte, 1884, by monotypy). Racenisa Bechyné, 1958: 604 (type species Racenisa venezuelensis Bechyné, 1958, by original designation). Remarks This genus contains seven described species. They occur from the United States (Arizona) through much of South America. See Fig. 115 for a habitus illustration. See Bechyné (1958) for a key that includes most of the species. Agelastica bicolor LeConte, 1884, and Racenisa bicolor Bechyné, 1958, are both currently included in Trachyscelida. We here propose Trachyscelida dichroma nom. nov., as a replacement name for R. bicolor Bechyné, 1958. The Palearctic species Agelastica alni (Linnaeus, 1758), belonging to the tribe Hylaspini Chapuis, 1875, has been reported from eastern Canada and the northeastern United States, but this species is not thought to be established in North America (Riley et al. 2003). Since Agelastica Chevrolat, 1836 probably does not occur on the American continents, we have excluded this genus from the following key. However, if specimens were to be discovered, they would key to couplet 134, along with Trachyscelida, which shares a similar, broadly ovate body form. The two genera are easily distinguished by the pronotal color, that of Agelastica being concolorous with the dark elytra, while that of Trachyscelida is pale, strongly contrasting with the dark elytra.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient 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 score0.913
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.1180.008

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 head0.037
GPT teacher head0.221
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; 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
Published2022
Admission routes1
Has abstractyes

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