DETECTION AND CHARACTERIZATION OF HERPES VIRUS IN WILDLIFE SPECIMENS
Bibliographic record
Abstract
A nested PCR approach was used to investigate the presence of Herpesvirusses in different species of Canadian wildlife. The PCR is based on degenerate primers targeting the DNA polymerase B gene in open reading frame 9. The polymerase B protein is a essential protein and highly conserved in the DNA polymerase B gene of Herpesvirus. In this article we describe the findings of this nested PCR on wildlife samples. A unknown Herpesvirus in the specie Martes americana was detected. The detected sequences are aligned in a protein alignment and shown in a pyologenetic tree. This pyologenetic tree shows the relation of the sample Herpesvirusses to Herpesvirusses that were earlier submitted to Genbank. Alpha, Gamma and possibly Beta Herpesvirusses are found with this PCR method. For further research a better overview of Herpesvirusses is desirable by looking at a larger piece of the genome to determine the relation between Herpesviruses within animal species.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".