USE OF IgG AVIDITY TO INDIRECTLY MONITOR EPIZOOTIC TRANSMISSION OF SIN NOMBRE VIRUS IN DEER MICE (PEROMYSCUS MANICULATUS)
Bibliographic record
Abstract
An IgG avidity assay was developed to differentiate deer mice that had recently acquired Sin Nombre virus (SNV) from those that were infected in the distant past. Using this procedure, low avidity antibodies were predominantly detected in experimentally infected deer mice (89.5%) within the first 30 days post-inoculation. The assay was then applied to sera from naturally infected deer mice collected during a field investigation associated with a cluster of hantavirus pulmonary syndrome cases. A higher proportion of seropositive mice collected during the outbreak had serum with low avidity antibodies (16.7%) when compared with mice trapped four months later (5.7%). Sin Nombre virus RNA was detectable in blood in a similar fraction of low- (45%) and high- (38.7%) avidity groups. Non-adult mice were more likely to contain low-avidity antibodies (44.4%) than were adults (9.6%). Our results indicate that the IgG avidity assay shows promise as a tool to better characterize epizootic intensity and to identify factors involved in SNV transmission.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 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".