Investigating factors that set the lower elevational limit of Canada jays (Perisoreus canadensis) on Vancouver Island
Bibliographic record
Abstract
Although evidence suggests that climate change will have a major effect on the distribution of species, the abiotic and biotic factors responsible for determining the present range of most species are unknown. The Canada jay (Perisoreus canadensis) is a resident passerine that is limited at the southern edge of its range by climate, via its effect on cached food. To examine the influence of the antimicrobial properties of tree species and temperature on cached food, we conducted two simulated caching experiments. Food cached on Yellow cedar trees (Cupressus nootkatensis) and Amabilis fir (Abies amabilis), retained greater mass than other tree species. We also found evidence that elevation, a proxy for temperature, influences cache preservation. Our results suggest that biotic and abiotic factors can impact the quality of cached food, but we were unable to provide definitive evidence that either was responsible for setting the lower elevational limit of Canada jays.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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".