Detection of equine infectious anemia viral genome in equids serum samples in Canada
Bibliographic record
Abstract
Serum is a suboptimal matrix for detecting Equine Infectious Anemia virus (EIAV) compared to whole blood (WB), which contains mononuclear cells where the virus primarily resides. WB and spleen samples are generally more reliable for detecting the viral genome. However, at the Canadian Food Inspection Agency (CFIA), only archived serum samples are available for future genotyping efforts. Given this limitation, the present study evaluated the feasibility of detecting EIAV RNA in archived serum samples from equids previously confirmed as seropositive for EIAV using reverse transcription real-time PCR (RT-qPCR). EIAV RNA was detected in of the majority of samples (n= 56, 72.7%), establishing proof-of-concept that the virus can be identified in serum, the only sample type available at CFIA. These findings suggest that further methodological development may enhance detection sensitivity from this matrix. Furthermore, the study highlights the potential for archived sera to support future genotyping projects and improve understanding of circulating EIAV strains in Canada.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".