Home Grown Botanical Acaricides: A One Health Strategy to Prevent Tick-Borne Diseases
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The prevalence of tick-borne zoonotic disease in Ontario, Canada, has steadily increased over the years. Global climate change has exacerbated the geographical spread, activity level, and population abundance of disease-causing ticks, resulting in the increased circulation of tick-borne disease and significant adverse health impacts on humans, non-human animals, and the environment. Given that existing initiatives demonstrate subpar efficacy and longevity, low accessibility and feasibility, or pose threats to non-human animal and environmental health, it is evident a One Health approach is needed to address this issue. This paper proposes a cost-effective home gardening guide that could be utilized to create botanical acaricides that have been proven to deter ticks. The solution, which employs the process of steam distillation to create essential oils from plants, uses Kingston, Ontario, Canada, as an example and places emphasis on the health and well-being of the environment, wild and domesticated non-human animals, and humans simultaneously.
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.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| 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 | 0.002 |
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 it