Postglacial range expansion from northern refugia by the wood frog,<i>Rana sylvatica</i>
Bibliographic record
Abstract
Although the range dynamics of North American amphibians during the last glacial cycle are increasingly better understood, the recolonization history of the most northern regions and the impact of southern refugia on patterns of intraspecific genetic diversity and phenotypic variation in these regions are not well reconstructed. Here we present the phylogeographic history of a widespread and primarily northern frog, Rana sylvatica. We surveyed 551 individuals from 116 localities across the species' range for a 650-bp region of the NADH dehydrogenase subunit 2 and tRNA(TRP) mitochondrial genes. Our phylogenetic analyses revealed two distinct clades corresponding to eastern and western populations, as well as a Maritime subclade within the eastern lineage. Patterns of genetic diversity support multiple refugia. However, high-latitude refugia in the Appalachian highlands and modern-day Wisconsin appear to have had the biggest impact on northern populations. Clustering analyses based on morphology further support a distinction between eastern and western wood frogs and suggest that postglacial migration has played an important role in generating broad-scale patterns of phenotypic variation in this 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 | 0.000 | 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) | 0.001 | 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".