Developmental Validation of a Real-Time Quantitative PCR Assay for Automated Quantification of Human DNA
Bibliographic record
Abstract
Our laboratory has developed an automated real-time quantitative PCR assay for detecting human DNA. The assay utilizes an in-house, custom-designed TaqMan-MGB sequence-specific probe (CFS-HumRT) and the ABD 7900HT SDS platform. Developmental validation has followed TWGDAM (1) guidelines and demonstrates that the assay is primate specific, is highly sensitive, yields consistent results, and works with human DNA extracted from a variety of body fluid stains. When operating within the dynamic range of the system using high-quality DNA samples. the technique yields similar quantification results to our current QuantiBlot assay with the added benefit of time saving through automation. Furthermore, the QPCR assay identifies how much amplifiable DNA is in a sample and thus has the potential to predict PCR success in downstream applications such as STR analysis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".