New early and middle Eocene artiodactyls from the Erlian Basin, Inner Mongolia, China
Bibliographic record
Abstract
Eocene artiodactyls from Asia were considered less diverse and abundant than the contemporary perissodactyls, especially in the Eocene faunas from the Mongolia Plateau and Central Asia. By contrast, artiodactyls are highly diverse and endemic from the Eocene deposits of Europe and North America. Here we report two new genera and three new species of small- to medium-sized artiodactyls preserved by fragmentary materials from the Early and Middle Eocene of the Erlian Basin, Inner Mongolia, China. Paraphenacodus gabuniai sp. nov. represents the first record of artiodactyls from Arshantan Asian Land Mammal Age, and shows some more primitive characters than Paraphenacodus solivagus from the Middle Eocene of the Zaysan Depression of Kazakhstan. Although Paraphenacodus with generally bunodont teeth shows some similarities with both Early Eocene Tsaganohyus from Mongolia and early cebochoerid Gervachoerus from Europe, its affinities with other artiodactyls remain obscure. Two new genera and species, Irdinodon bicuspidata gen. et sp. nov. and Aliusuellus laolii gen. et sp. nov., from the Irdinmanhan ALMA represent new taxa of Lantianiinae and Tapirulidae, respectively. Irdinodon is characterized by twinned metaconules and entoconids on the upper and lower molars in lantianiines. Aliusuellus is characterized by a large size and a distinct ridge raised along the posterolingual side of the paracone to its apex on M2. These new artiodactyl materials from the Erlian Basin, as well as recently reported tapirulids and bunodont Erlianhyus, increase the diversity of the Eocene artiodactyls from the Mongolia Plateau, and provide new clues on the origin and dispersal of some early artiodactyls.http://zoobank.org/urn:lsid:zoobank.org:pub:C154B8B2-3841-4616-8D9E-56878C594B5F
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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 | 0.001 |
| Science and technology studies | 0.001 | 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".