Evolutionary History of an Island Mouse
Bibliographic record
Abstract
Evolutionary science shows that small, isolated populations are most at risk of extinction. In the Anthropocene, these are increasing. However, some small populations do persist. The Gulf Islands of British Columbia, Canada, were isolated by a rise in sea level several thousand years ago and provide an ideal ecosystem to study naturally occurring small populations isolated over long time periods. Populations of North American Deermouse, Peromyscus maniculatus, inhabit several of these islands and are unlikely to travel between islands, creating well-isolated populations. Through analysis of island populations’ genetic structure, our research aims to determine the evolutionary relationship of different deermouse populations among the Gulf Islands, as well as create a rough divergence timeline. My image shows how we obtain saliva samples that allow for the DNA extraction and genomic analysis of these nocturnal rodents. Understanding the phylogenetic relationship and divergence timeline of these populations will provide insight into the evolution of small populations and how some have persisted through time.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".