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Record W3169352469 · doi:10.1093/zoolinnean/zlz059

Molecular phylogeny and species delimitation of the genus Dicerapanorpa (Mecoptera: Panorpidae)

2019· article· en· W3169352469 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueZoological Journal of the Linnean Society · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFossil Insects in Amber
Canadian institutionsUniversity of Guelph
FundersNational Natural Science Foundation of China
KeywordsBiologyIntraspecific competitionZoologyPhylogenetic treeDNA barcodingBiodiversityPhylogeneticsTaxonomy (biology)Interspecific competitionGenusEvolutionary biologyEcology

Abstract

fetched live from OpenAlex

Abstract Given that species is the fundamental unit in systematic biology, rigorous species delimitation is crucial for taxonomic studies, yet routine species delimitation remains an ongoing challenge in the taxonomic practice of insects. The two-horned scorpionfly Dicerapanorpa is a small genus in Panorpidae (Mecoptera) endemic to the Qinling-Bashan and Hengduan mountains, a biodiversity hotspot. However, species of Dicerapanorpa are difficult to delineate owing to marked intraspecific variation and interspecific similarity. Here, we investigate the diversity and species boundaries of Dicerapanorpa using an integrative approach based on DNA barcoding, morphological, geometric morphometric and molecular phylogenetic analyses. This integrative analyses confirmed the 13 described species of Dicerapanorpa and revealed three new species: Dicerapanorpa lativalva sp. nov., Dicerapanorpa hualongshana sp. nov. and Dicerapanorpa minshana sp. nov. Most molecular operational taxonomic units are in congruence with morphological clusters. Possible reasons for several discordances in Dicerapanorpa are tentatively discussed.

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.

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 score0.854
Threshold uncertainty score0.205

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.012
GPT teacher head0.188
Teacher spread0.176 · 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