Establishment of RT PCR Method for Diagnosing Porcine Reproductive and Respiratory Syndrome
Bibliographic record
Abstract
One set of oligonucleotide primer was designed according to the sequence of the nucleocapsid protein gene of Quebec reference strain IAF exp91 of porcine reproductive and respiratory syndrome virus (PRRSV). The primers were used in reverse transcription and polymerase chain reaction (RT PCR) experiments for detection of viral genomic RNA from either infected HS 2H cells or tissues of domestic naturally infected pigs. The primers could amplify sequences from the American and European strains of PRRSV. When analyzed by agarose gel electrophoresis, the resulting bands displayed differences in electrophoretic mobilities due to the absence of 36 nucleotides in the European strain, thus allowing its differentiation from the American strain. No amplification was observed when RNA was extracted from either uninfected HS 2H cells or other porcine viruses. The sensitivity of the RT PCR for detection of PRRSV was measured to be a 50% tissue culture infective dose of 10. All of the detected domestic clinical samples were positive by the RT PCR and their strains belonged to the American type in gene level. It was first established that the direct extraction of the RNA from tissues and organs of naturally infected pigs and cell cultures was used in detection of RNA of PRRSV by RT PCR. The RT PCR is proved to be a specific, sensitive, rapid and simple method and can be used in research of epidemiology and early clinical diagnosis of PRRS in molecular level.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 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) | 0.005 | 0.005 |
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".