Mitochondrial DNA Analysis of Acellular Laboratory Samples
Bibliographic record
Abstract
The source of acellular specimens is not infrequently challenged, especially for toxicology specimens, but such specimens may not be amenable to conventional genetic testing to confirm the source. Our evaluation of genomic and mitochondrial DNA (mtDNA) amplicons using polymerase chain reaction (PCR) from centrifuged, filtered, or whole urine specimens demonstrated higher sensitivity of detection of mtDNA than genomic DNA and a higher detection rate for the mtDNA markers than genomic markers in all sample sets. The mitochondrial amplicons were sequenced to identify specific single nucleotide polymorphisms (SNPs). Subsequently, a real-time PCR technique using fluorescence resonance energy transfer (FRET) probes designed to hybridize to the published mtDNA sequence over known SNP locations present within the mitochondrial control region was developed. Our results demonstrate the feasibility of using a FRET-based assay of mitochondrial genotypes with acellular laboratory specimens to screen for specimen mix-ups or to confirm sources of controversial toxicology specimens.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".