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Record W4311012729 · doi:10.3897/zookeys.1134.87853

A world generic revision of Quediini (Coleoptera, Staphylinidae, Staphylininae), part 1. Early diverging Nearctic lineages

2022· article· en· W4311012729 on OpenAlexafffund
Adam Brunke

Bibliographic record

VenueZooKeys · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicColeoptera Taxonomy and Distribution
Canadian institutionsAgriculture and Agri-Food Canada
FundersAgriculture and Agri-Food CanadaGovernment of Canada
KeywordsNearctic ecozoneBiologySystematicsMonophylyZoologyGenusTribeTaxonomy (biology)Evolutionary biologyCladePhylogenetics

Abstract

fetched live from OpenAlex

Several phylogenetically isolated, early diverging lineages of rove beetle tribe Quediini, all endemic to the western Nearctic, have recently been revealed by phylogenomic systematics. These three lineages, currently treated as either Quedius (Raphirus) or Q. (Paraquedius) warrant recognition at the genus level in the ongoing effort to achieve reciprocal monophyly of genera in Quediini. The three lineages were each morphologically studied in detail, with the following results: Paraquedius Casey, stat. res. is re-elevated to genus rank, Quediellus Casey, stat. res. is resurrected from synonymy and redefined, and Iratiquedius gen. nov. is described for the species of the Amabilis and Prostans groups. A morphological diagnosis is provided for each genus at both the global and regional (Nearctic) level. Species level revisions, with keys, are provided for Iratiquedius , Paraquedius , and Quediellus with the following results: Iratiquedius uncifer sp. nov. and Paraquedius marginicollis sp. nov. are described, Quediellus nanulus Casey is treated as syn. nov. of Quediellus debilis (Horn), and I. amabilis (Smetana), I. mutator (Smetana), and P. puncticeps (Horn) are substantially redefined. Where possible, CO1 barcode sequence data are integrated with the morphological species concepts used herein and their clusters were found to be congruent.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.315
Threshold uncertainty score0.997

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.029
GPT teacher head0.224
Teacher spread0.196 · 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.

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

Citations3
Published2022
Admission routes2
Has abstractyes

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