Contribution to the phylogeography of the nose-horned viper (Vipera ammodytes, Linnaeus, 1758) in the Central Balkan Peninsula
Bibliographic record
Abstract
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]
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".