Validation of the ANSR® for Campylobacter Method for Detection of Thermophilic Campylobacter spp. in Chicken Carcass Rinse and Turkey Sponge Samples
Bibliographic record
Abstract
A performance validation of the ANSR® for Campylobacter method was conducted in selected matrixes. This assay used selective nicking enzyme amplification technology to amplify target genes. Samples were enriched for 20 to 24 h and then lysed. The assay was completed within 50 min using real-time detection in a combination incubator/fluorescence detector and software. When 50 distinct strains of Campylobacter jejuni, C. lari, or C. coli were tested for inclusivity, all 50 strains produced positive results. In exclusivity testing, 31 strains of related organisms, including seven nontarget Campylobacter strains and other common species, were evaluated. All 31 species generated negative ANSR assay results, including the nontarget Campylobacter strains. The ANSR for Campylobacter method was compared to the U.S. Department of Agriculture, Food Safety and Inspection Service Microbiology Laboratory Guidebook reference method using naturally contaminated chicken carcass rinse or turkey carcass sponge samples. ANSR method performance was not statistically different from the reference method using two different enrichment options. Equivalent results were observed at both time points (20 and 24 h) and in both atmospheres (microaerobic and aerobic) to reference methods. Method performance with chicken carcass rinse was confirmed in an independent laboratory study. Additionally, in robustness testing, small, deliberate changes to the assay parameters minimally affected ANSR method performance. Finally, accelerated stability results from three independently manufactured lots supported a shelf life of 6 months when stored at 4°C. The ANSR assay offered greater efficiency and flexibility when compared to the reference method with a 20-24 h single-step enrichment in a microaerobic or an aerobic atmosphere.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".