Integrative taxonomy reveals a new genus and new species of Philosciidae (Crustacea: Isopoda: Oniscidea) from the Neotropical region
Bibliographic record
Abstract
Although new methods and data are conquering space in the field of taxonomy, such as integrative taxonomy, most terrestrial isopod species are still described based only on morphology. Species of the genus Atlantoscia Ferrara and Taiti, 1981 were the first and are the unique terrestrial isopods from the Neotropics for which a molecular phylogeny was already conducted. Previous results indicated that this genus could be paraphyletic, and a more detailed analysis would be required. Our aim was to reconstruct the phylogeny of Atlantoscia using mitochondrial and nuclear markers and test its monophyly by integrating molecular and morphological data. We observed that, indeed, Atlantoscia is paraphyletic. Atlantoscia ituberasensis Campos-Filho, Lisboa and Araujo, 2013 and Atlantoscia rubromarginata Araujo and Leistikow, 1999 were placed in a new genus of terrestrial isopods, Paratlantoscia gen. nov., together with a new species described in the present study, Paratlantoscia robusta sp. nov. The new genus is defined by the presence of specialized respiratory areas in the pleopod exopods and its validity is highly corroborated by molecular analyses and by biogeographic information. This study highlights the importance of multiple and complementary perspectives as a way to improve the quality of species hypothesis and associated descriptions.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".