Comparative field analyses of rapid analyte measurement platform and reverse transcriptase polymerase chain reaction assays for West Nile virus surveillance
Bibliographic record
Abstract
Rapid detection of West Nile virus (WNV) in mosquito pools is essential for predicting epizootics and epidemics. We compare the efficiency and sensitivity of the Rapid Analyte Measurement Platform (RAMP) to reverse transcriptase polymerase chain reaction (RT-PCR) from 2005 to 2008 from field mosquito populations in Mercer County, NJ. Overall, 316 pools tested negative and 115 pools tested positive for WNV. Eighty-nine pools tested positive using RAMP and all were confirmed by RT-PCR; 26 pools were WNV-negative using RAMP but positive using RT-PCR. False-positives from RAMP were not detected in our four-year study, indicating that RAMP is a reliable tool when used to augment existing RT-PCR-based WNV surveillance programs. Local mosquito control programs using RAMP will benefit from its ease of use, quick results, and lack of false positives but should understand the sensitivity of this test when compared to RT-PCR. Used with standard methods, RAMP will enhance existing mosquito control and WNV surveillance by providing rapid results and improved mosquito management decisions.
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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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".