Sin Nombre Virus Shedding Patterns in Naturally Infected Deer Mice ( <i>Peromyscus maniculatus</i> ) in Relation to Duration of Infection
Bibliographic record
Abstract
A 2-year capture-mark-recapture study was conducted in southern Manitoba, Canada, to test for an association between the duration of Sin Nombre virus (SNV) infection in deer mice (Peromyscus maniculatus) and virus shedding. Hantavirus-specific IgG antibodies were detected in 22.2% of captured deer mice, and recently infected deer mice were identified based on the detection of low-avidity IgG antibodies. SNV RNA was detected in blood samples from the majority of seropositive deer mice with no significant difference in the association of SNV RNA between the low- and high-avidity groups (57.8% and 52.1%, respectively). A small subset of seropositive mice (11.6%) had detectable SNV RNA in oropharyngeal fluids (OPF) or urine. A greater proportion of deer mice with low-avidity antibodies had SNV RNA in OPF or urine compared with rodents with high-avidity antibodies (21% versus 6.8%, respectively). This is the first study of naturally infected deer mice to provide evidence that recently infected mice are more likely to shed SNV and thus might represent a greater risk of human infection.
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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 | 0.000 |
| 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 | 0.000 |
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".