Phylogenetic relationships of a rabies virus isolate in Costa Rica
Bibliographic record
Abstract
Introduction: The sylvatic cycle of rabies is a significant sanitary burden in Central America. The Costa Rican government monitors cases since 1985 and infections from bats are still reported for wild animals, livestock, and humans, generating a need of further pathogen characterization in the region. Objective: To compare rabies phylogenetic analyses from complete genomes with nucleoprotein gene studies. Methods: For the phylogenetic analyses we used four rabies tissue samples collected in 2018, and generated complete genomes by Next-Generation sequencing (NGS). We also extracted RNA from tissues of confirmed cases and generated ssDNA using several primers. Double-stranded DNA was generated and used to generate genomic libraries. Results: We describe, for the first-time, the complete genome of four sequences of the rabies virus isolated in Costa Rica in 2018. Complete genome trees resembled the topology of nucleoprotein gene trees. All isolates were related to Desmodus rotundus. One sample group into Lineage (L)2, and the remaining samples group in L1, matched previous reports from regional rabies viruses. Conclusion: Our method produces valid viral assemblies from clinical specimens without target enrichment or viral isolation.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 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".