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Record W2942494201 · doi:10.2298/abs181020028c

Contribution to the phylogeography of the nose-horned viper (Vipera ammodytes, Linnaeus, 1758) in the Central Balkan Peninsula

2019· article· en· W2942494201 on OpenAlexaff
Tijana Čubrić, Gorana Stamenković, Marija Ilić, Jelka Crnobrnja‐Isailović

Bibliographic record

VenueArchives of Biological Sciences · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicAmphibian and Reptile Biology
Canadian institutionsInstitute for Biological Sciences
Fundersnot available
KeywordsCladeZoologyBiologyVIPeRGeographyMitochondrial DNAPhylogeographyPhylogenetic treeEvolutionary biologyEcologyGeneticsGene

Abstract

fetched live from OpenAlex

Seven genetic clades have been recognized within the species Vipera ammodytes (nose-horned viper); however, the precise phylogenetic position of many Balkan populations is unknown. We used Bayesian analysis of the mtDNA sequences from the 16S rRNA mtDNA gene obtained from 47 individuals (26 novel samples sequenced in this study and 21 sequences available from GenBank). Our results show that sampled nose-horned vipers from localities in Serbia are clustered within three clades: the northeastern (23 individuals), the northwestern (two individuals) and the southeastern (one individual). Results revealed an overlapping distribution of the northeastern and the northwestern clades in two populations. We have revealed that the northeastern clade extends further south than previously suggested, to the Ohrid/Prespa lakes in North Macedonia. Our findings contribute to the knowledge of the genetic diversity of this species in Serbia and help to clarify the geographical distributions of mtDNA-defined clades. [Projects of the Serbian Ministry of Education, Science and Technological Development, Grant no. 173025 and Grant no. TR37009]

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.095
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.003
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 head0.011
GPT teacher head0.223
Teacher spread0.212 · 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

Citations7
Published2019
Admission routes1
Has abstractyes

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