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DNA barcoding indicates hidden diversity of Euscorpius (Scorpiones: Euscorpiidae) in Turkey

2016· article· en· W2288573529 on OpenAlexafffund
Victor Fet, Matthew R. Graham, Gergin Blagoev, Ayşegül Karataş, Ahmet Karataş

Bibliographic record

VenueEuscorpius · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVenomous Animal Envenomation and Studies
Canadian institutionsUniversity of Guelph
FundersGovernment of CanadaOntario GenomicsOntario Genomics InstituteGenome Canada
KeywordsSubgenusCladeBiologyGenusZoologyTaxonDNA barcodingParaphylyFaunaEvolutionary biologyEcologyPhylogeneticsGeneGenetics

Abstract

fetched live from OpenAlex

The Anatolian fauna of the genus Euscorpius (Scorpiones: Euscorpiidae) is in the process of reassessment. Twelve species of this genus are currently recognized for Anatolia, of which seven have been recently described on the basis of morphology. We demonstrate additional cryptic diversity in Anatolian Euscorpius by applying molecular markers (mitochondrial COI and 16S rDNA genes) from 14 populations, of which 13 were morphologically characterized by “em=3,” a phenotypic marker on the pedipalp patella. All studied Anatolian forms are strongly supported as a single clade compared to the European (from the Alps to the Balkans) taxa of the subgenus Alpiscorpius. Of these, six are assigned to known species (E. ciliciensis, E. mingrelicus, E. eskisehirensis, E. phrygius, and E. uludagensis); and three (Aksaray, Ankara, Sakarya) are closely related to a clade containing E. phrygius and E. uludagensis. Four clades represent undescribed taxonomic forms, possibly of species level: Balikesir/Canakkale (Kazdağları National Park), Konya, Denizli, and Trabzon, all with em=3. Another putative species from Kayseri Province, Aladağlar (=Antitaurus) Mts., is related to (E. ciliciensis + E. eskisehirensis) clade; however, it exhibits em=4, which appears to be the first case of reversal in this important trait for the genus Euscorpius.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.340
Threshold uncertainty score0.750

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 science0.0000.001
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 head0.016
GPT teacher head0.229
Teacher spread0.213 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations20
Published2016
Admission routes2
Has abstractyes

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