Comprehensive PCR-Based Assay for Detection and Species Identification of Human Herpesviruses
Bibliographic record
Abstract
The description and evaluation of a PCR-based assay for the detection and species identification of the eight known human herpesviruses are presented. Two primer pairs targeting well-conserved regions of the genome allowed the amplification of the DNAs of all known human herpesviruses at a high level of sensitivity (10 to 100 genome copies for most viruses). Identification of the virus species was achieved through restriction enzyme digestion with BamHI and BstUI, which yielded fragment sizes that were characteristic for each herpesvirus. Furthermore, it was demonstrated that this restriction enzyme panel allowed the discrimination between human herpesvirus 6 variant A and variant B. This assay format was validated over the course of 1 year in a clinical virology laboratory setting, where it was shown that it readily detected human herpesviruses, including occasional multiple infections, in a variety of clinical samples. The PCR assay was compared to isolation and electron microscopy for the detection of herpes simplex (HSV) and varicella-zoster virus (VZV) in clinical samples. All specimens positive by conventional methods were also positive by PCR. However, in a number of clinical specimens in which HSV or VZV could not be detected by conventional methods, PCR was able to demonstrate the presence of the virus.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".