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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 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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0260.005

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; 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 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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