Climate change and mosquito-borne arboviruses: an examination of current and future potential range changes of «Culex pipiens» in Canada
Bibliographic record
Abstract
Given current and projected climate change, the range distribution of a number of species, including mosquito vectors, is anticipated to shift geographically with implications for the transmission dynamics of vector-borne diseases carried by specialized species. This thesis examines the risk factors for human incidence of mosquito-borne disease in Canada and characterizes the climatic determinants of the current range distribution of Culex pipiens, a known mosquito vector of arboviruses found in Canada. Spatial statistical models were developed from mosquito surveillance data collected by Canadian provinces over the last decade and are used to give an estimation of the current habitat suitability of this species in Canada. Habitat suitability for Culex pipiens under projected climate change is also examined for three future time periods. Results predict a significant range expansion of Culex pipiens' suitable habitat northward into the year 2100 with potential implications for disease transmission resulting from changing biodiversity within communities.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".