Burkholderia mallei’nin Tespitinde Ticari Tek-Basamaklı Gerçek-Zamanlı Polimeraz Zincir Reaksiyon Kitinin Analitik Özgünlüğü ve Özgüllüğünün Değerlendirilmesi
Bibliographic record
Abstract
Burkholderia mallei (B. mallei) is the etiological agent of glanders, a highly infectious and zoonotic disease of solipeds. Prompt and accurate detection of B. mallei and diagnosis of glanders is important for both, humans and animals. The present study was designed to evaluate the analytical sensitivity and specificity of a commercially available one-step real-time (RT) PCR assay kit (Genekam Biotechnology AG, Germany) for the detection of B. mallei. Furthermore, the comparative evaluation of the analytical sensitivity of an already published fliP RT-PCR protocol and this kit was made using a real-time PCR (RT-PCR) platform: the Mx3000P TM (Stratagene®, Canada). Diagnostic parameters were assessed with a panel of 20 B. mallei, 20 B. pseudomallei, 15 B. mallei related and 10 clinically relevant non-Burkholderia species. Using the one-step RT-PCR on the Mx3000PTM platform, the limit of detection (LOD) was determined as 10 fg. Applying a modified fliP RT-PCR using the Mx3000P platform resulted in a LOD of 100 fg. Authors conclude that the one-step RT-PCR kit is specific for DNA of B. mallei strains. The one-step RT-PCR assay kit is a robust, rapid, reliable, specific and sensitive tool with a fast turnaround time for the specific identification and detection of B. mallei from culture material.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".