Development of a rapid, internally controlled, two target, real-time RT-PCR for detection of measles virus
Bibliographic record
Abstract
Vaccination has greatly reduced global measles incidence, however measles remains endemic in many regions worldwide. Measles surveillance relies on high performance molecular detection of the virus. We have developed and validated a multiplex rRT-PCR assay for the detection of measles virus. The assay includes three independent probes with unique reporter dyes for the simultaneous detection of the measles hemagglutinin gene, nucleoprotein gene and endogenous RNaseP control. Using dilution series of synthetic RNAs the limits of detection were determined to be approximately 20 copies of measles RNA. The assay is extremely reproducible with very low intra-assay and inter-assay coefficients of varation for both the N and the H targets. After testing 68 confirmed measles positive and 86 measles negative archival clinical samples our data shows the multiplex assay has a sensitivity and specificity of 100 %, and a 100 % concordance with the expected results. No cross reactivity was identified with clinical specimens positive for six other viruses. According to the WHO, currently only the B3, D4, D8, H1 measles genotypes of the 24 recognized genotypes continue to circulate and this new multiplex assay successfully detected all four of those genotypes as well as six other genotypes.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.001 | 0.001 |
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".