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Phylogenetic species delimitation for the widespread spider wasp Ageniella accepta (Hymenoptera: Pompilidae), with new synonyms: supplementary material

2019· dataset· en· W6958480590 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2019
Typedataset
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNuclear Structure and Function
Canadian institutionsnot available
Fundersnot available
KeywordsPhylogenetic treeSpiderPhylogeneticsIntrogressionPanamaIdentification (biology)Molecular phylogeneticsMitochondrial DNAJumping spider

Abstract

fetched live from OpenAlex

<i>Ageniella</i> is the second-most diverse spider wasp genus in Ageniellini (Pepsinae). The <i>Ageniella</i> (<i>Ageniella</i>) <i>accepta</i> species-group is found from Canada to Panama and is composed of three Nearctic species: <i>A. accepta </i>(Cresson), <i>A. blaisdelli</i> (Fox), and <i>A. conflicta</i> Banks. Within this group, species-level identification is difficult, because diagnostic characters are questionable, and subjective for both males and females. Furthermore, sexes of each species are not reliably associated. Herein, we investigate sex associations and the validity of described species within the <i>A. accepta </i>species-group based on three molecular markers (cytochrome oxidase I, wingless, long-wavelength rhodopsin) by using maximum likelihood and Bayesian phylogenetic analyses, and species-delimitation approaches. Additionally, we mapped 12 morphological traits onto the molecular phylogeny to discuss evolution of diagnostic characters. We concluded that the three species of the <i>A. accepta</i> species-group are actually a single, wide-ranging species with strong geographical signal. Moreover, our results suggest introgression at the mitochondrial level.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.089
Threshold uncertainty score1.000

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)0.0890.000

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 head0.252
Teacher spread0.223 · 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 designNot applicable
Domainnot available
GenreDataset

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
Published2019
Admission routes1
Has abstractyes

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