Mid-Cenozoic Rhinocerotid Dispersal via the North Atlantic
Bibliographic record
Abstract
Abstract The North Atlantic Land Bridge (NALB), which connected Europe to North America, enabled high latitude dispersal, particularly during globally warm periods such as the Paleocene-Eocene Thermal Maximum, a period of dramatic faunal reorganization. It has been generally accepted by paleontologists, based on faunal comparisons between Europe and North America, that terrestrial vertebrates did not disperse via the NALB more recently than the early Eocene. Herein, we describe a new Early Miocene rhinocerotid species from the Canadian High Arctic with proximity to the NALB and present novel phylogenetic hypotheses for rhinocerotids. The new species, a member of the genus Epiaceratherium , is differentiated from the four other members of the genus by characteristics of the P3, M1-2, mandible, and lower premolars. Global-scale biogeographic analyses reveal a high number of dispersals between Europe and North America, in both directions; cumulatively, they near the number of dispersals within Eurasia. Notably, multiple dispersals occurred in the Oligo-Miocene, suggesting that the NALB may have been crossable for mammals for at least 20 Ma longer than previously considered, consistent with emerging geological and palaeoclimatological models. We thus provide insight into the importance of the NALB as persistent high latitude connector of geographically disparate terrestrial faunas, underscoring the pivotal role of the Arctic in mammalian evolution.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".