Assessing pathogen risk for wild bumblebees ( <i>Bombus</i> spp., Apidae) in Canada
Bibliographic record
Abstract
Abstract Pathogen spillover has been cited as a threat to wild pollinator species, including bumblebees ( Bombus spp). Conservation planning to conserve declining pollinators requires prioritization of at‐risk populations where threats might be particularly high. Here we map overlap between areas of high conservation priority for protecting bumble bees and regions of pathogen spillover risk from managed bees for Canada, incorporating uncertainty in pathogen spillover potential into our analysis. Across Canada, 9%–17% of all conservation priority areas have some level of pathogen risk and 29%–37% of the area with pathogen risk contains conservation priority areas, but this risk is unevenly distributed. Alberta, British Columbia, and southern Ontario are the regions with the greatest risk for pathogen spillover in conservation priority areas. These results can inform government agencies and conservation practitioners engaged in pollinator conservation to develop more effective evidence‐based programs and policy.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".