The Seasonal Timing of Snowshoe Hare Virus Transmission on the Island of Newfoundland, Canada
Bibliographic record
Abstract
Arthropod-borne diseases negatively affect humans worldwide. Understanding the biology of the arthropod vectors and the pathogens they harbor, the arthropods are moving targets as a result of climate change, ecosystem degradation, species introductions, and increased human travel. Viruses within the California serogroup of the genus Orthobunyavirus (family Bunyaviridae) are among the mosquito-borne viruses of concern owing to their zoonotic potential. Two of these, snowshoe hare virus (SSHV) and Jamestown Canyon virus, were shown, using a combination of serology and virus isolations, to circulate on the Island of Newfoundland, Canada, in the 1980s. More recently, serological analysis demonstrated that these two viruses continue to circulate on the Island in several domesticated and wild animals. Here, we detected the seroconversion to SSHV in wild snowshoe hares and in a single sentinel rabbit. The seroconversion in the sentinel rabbit occurred in early August (2011), which corresponded to the weeks of peak mosquito collections and the timing of the detection of SSHV in suspected mosquito vectors. A portion of the SSHV S segment sequence was generated from mosquito pools collected at sites near the sentinel rabbits and phylogenetically analyzed using the neighbor-joining method with other available California serogroup virus sequences. This analysis validated the SSHV identification but showed that the Newfoundland sequence fell outside the other SSHV sequences available, which originated from the United States between 1959 and 2005.
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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 | 0.001 |
| 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) | 0.002 | 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".