Performance of a Foot-and-Mouth Disease virus Reverse Transcription-Polymerase Chain Reaction with Amplification Controls between Three Real-Time Instruments
Bibliographic record
Abstract
The foot-and-mouth disease virus (FMDV) is a member of the picornavirus family, possessing an 8-kb single-stranded RNA genome of positive polarity. It is highly contagious among several livestock species and can lead to severe economic consequences, as evidenced by the UK outbreak in 2001. The usage of real-time polymerase chain reaction has facilitated rapid detection of FMDV. Several real-time PCR instruments are available with various capabilities, such as portability and high sample volume analysis. Primers and a dual-labeled TaqMan probe were optimized to detect a single, highly conserved 88-bp segment of the FMDV 3D (RNA polymerase) gene. To increase the confidence of the RT-PCR result, a positive amplification control was synthesized to detect potential false-positive results due to contamination if a wild-type virus is used as positive control. In addition, a preventative measure against false-negative results was developed in which endogenous beta actin mRNA is coamplified by RT-PCR. Assay performance was compared on the LightCycler1.2 (Roche), the SmartCyclerII (Cepheid), and the SDS 7900HT (ABI). These assays successfully identified the FMDV genome and beta actin mRNA from several sources of infected nasal and oral swabs, as well as probang samples.
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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 | 0.022 | 0.017 |
| Meta-epidemiology (narrow) | 0.007 | 0.007 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.014 | 0.011 |
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".