Factors affecting the abundance of blacklegged ticks (Ixodes scapularis) and the prevalence of Borrelia burgdorferi in ticks and small mammals in the Thousand Islands region
Bibliographic record
Abstract
The objectives of this study were to determine the distribution of Borrelia burgdorferi (Bb), the bacterium that causes Lyme disease, and its tick vector (Ixodes scapularis) in the Thousand Islands in Ontario, and to assess the effects of various factors, including host populations, temperature, and vegetation, on the distribution of Bb and ticks in this new endemic region. Data were collected via drag sampling and small mammal trapping at 12 sites and multimodel inference was used to evaluate variables. There was inter-island variation in the abundance of ticks and prevalence of Bb in ticks. Important predictors of tick numbers and infection prevalence included deer abundance, distance to the United States, temperature, species richness, and relative mouse abundance. These results will contribute to management strategies to reduce Lyme disease risk in the Thousand Islands and to our understanding of the effects of biodiversity on disease risk.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".