Rhytomus Génier & Saxton: A new dung beetle genus from New Guinea with five new species and phylogenetic insights (Coleoptera: Scarabaeidae: Scarabaeinae)
Bibliographic record
Abstract
In this study, we utilize both morphological and molecular data of Australasian dung beetles to establish Rhytomus Génier & Saxton, new genus. Using ultra-conserved element (UCE) data, we reconstruct the relationships between Rhytomus and related genera within the Australasian endemic clade. We provide a comprehensive revision for all mainland New Guinea species including the description of five new species: R. fervidus Saxton & Génier, new species, R. larseni Saxton & Génier, new species, R. latidentatus Saxton & Génier, new species, R. sodalis Saxton & Génier, new species, and R. vanus Saxton & Génier, new species. We transfer seven species originally described within the genus Tesserodon Hope, 1837; Rhytomus heurni (Paulian, 1937), new combination, Rhytomus howdeni (Paulian, 1985), new combination, Rhytomus papuanus (Paulian, 1985), new combination, Rhytomus seramicus (Krikken & Huijbregts, 2009), new combination, Rhytomus setulosus (Balthasar, 1965), new combination, Rhytomus waigeoensis (Ochi, Kon & Hartini, 2017), new combination. Furthermore, we designate a lectotype for Tesserodon elongatum van Lansberge, 1885, correct name bearing type data for Tesserodon howdeni Paulian, 1985 and provide both a traditional dichotomous and an online illustrated interactive identification key for mainland New Guinea species.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".