Validation and standardization of IS900 and F57 real-time quantitative PCR assays for the specific detection and quantification of<i>Mycobacterium avium</i>subsp.<i>paratuberculosis</i>
Bibliographic record
Abstract
Mycobacterium avium subsp. paratuberculosis (Map) is the causative agent of Johne's disease and may contribute to the onset and development of Crohn's disease in humans. Rapid detection of Map is fundamental because of its reported isolation from pasteurized milk and its potential for transmission through environmental sources. In this study, we developed two independent real-time quantitative PCR assays targeting the IS900 genetic insertion sequence and the F57 sequence, which proved capable of detecting and quantifying Map DNA. Validation and standardization of the developed methods were performed by evaluating diagnostic trueness, precision, and accuracy of the techniques. Specificity of the IS900 and F57 methods was verified in both in silico and experimental studies. The assays were found to be very accurate and precise with high repeatability and reproducibility. Moreover, the two real-time assays were very specific for Map, discriminating most of mycobacterial and nonmycobacterial species.
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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 | 0.024 | 0.031 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 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".