Molecular and morphological evidences for considering Rhabdophis guangdongensis Zhu, Wang, Takeuchi & Zhao, 2014 a junior synonym of Rhabdophis angeli (Bourret, 1934) (Squamata: Natricidae)
Bibliographic record
Abstract
We report the rediscovery of the keelback snake Rhabdophis angeli (Bourret, 1934) from its type locality in Tam Dao National Park, Phu Tho Province, Vietnam, nearly 90 years after its original description. Based on an integrative approach combining morphological examination and molecular phylogenetic analyses, we revise the diagnosis of Rhabdophis angeli and formally synonymise Rhabdophis guangdongensis Zhu, Wang, Takeuchi & Zhao, 2014, with R. angeli. Given the current distributional data, made of widely scattered localities, and the presence of potential threats, we recommend that Rhabdophis angeli be categorised as Near Threatened (NT) under the IUCN Red List criteria. This study highlights the importance of comprehensive taxon sampling, particularly in adjacent regions, to improve our understanding of species boundaries and conservation status. An updated identification key is provided for species within the Rhabdophis nuchalis group, highlighting the need for further integrative taxonomic work in this complex.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".