Development of real‐time reverse transcriptase polymerase chain reaction methods for human rabies diagnosis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
To improve timely ante-mortem human rabies diagnosis, methods to detect viral RNA by TaqMan-based quantitative reverse transcriptase polymerase chain reactions (qRT-PCRs) have been developed. Three sets of two primers and one internal dual-labeled probe for each primer set that target distinct conserved regions of the rabies virus N gene were designed and evaluated. Using a collection of 203 isolates representative of the world-wide diversity of rabies virus, all three primers/probe sets were shown to detect a wide range of rabies virus strains with very few detection failures; the RABVD1 set in particular was the most broadly reactive. These qRT-PCR assays were shown to be quantitative over a wide range of viral titer and were 100-1,000 times more sensitive than nested RT-PCR; however, both the standard and real-time PCR methods yielded concordant results when used to test a collection of archived human suspect samples. The qRT-PCR assay was employed to monitor virus load in the saliva of a rabies virus-infected patient undergoing the Milwaukee treatment protocol. However in this case it would appear that reduction of the viral load in the patient's saliva over time did not appear to correlate well with clearance of viral components from the brain.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 it