Supplementary material from "Genomic and morphological analysis reveals long-term mammoth hybridization in British Columbia, Canada"
Bibliographic record
Abstract
Climate changes profoundly impact species distributions and can drastically alter dynamics between formerly isolated taxa. The evolution of mammoths within North America was characterized by repeated cycles of dispersal and putative gene flow between woolly and Columbian mammoths. However, as genome-wide studies on mammoths have predominantly focused on Siberia, the consequences of these North American range shifts remain unclear. Here, we generated genome-wide and morphological data for two Late Pleistocene mammoth molars from British Columbia, Canada (BC), and jointly analyzed these with previously published data. Our genome-wide analysis (n=16) revealed gene flow between woolly and Columbian mammoths that would have gone undiscovered based on morphological (n=48) and mitochondrial analysis (n=124) alone. Consistent with their hybrid nature, our analyses suggest that these two BC mammoths had elevated genomic diversity. Our results highlight the importance of combining data types to reconstruct past evolutionary events. These findings demonstrate how the geographical range expansion of woolly mammoths resulted in long-term hybridization with local Columbian mammoths and enhance our understanding of the genomic and morphological consequences of climate-mediated dispersal.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.493 | 0.065 |
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".