Allele Frequencies of Four Short Tandem Repeat Loci in Chinese Han Population
Bibliographic record
Abstract
Abstract Genomic DNA was obtained from peripheral blood extracted with Chelex-100 method (1). PCR was performed in a total reaction volume of 20 µL containing 20 ng genomic DNA, 0.2 µM each primer, 10 mM Tris-HCl buffer (pH 8.3), 50 mM KCl, 1.5 mM MgCl2, 200 RM each dNTP, and 1 U Taq DNA polymerase (BioStar, Canada). Primer sequences: D2S1788: 5 -aat gga tgg aca aat gga tg-3, 5 -ccc tcc ata att aga tga gcc-3; D6S1043: 5 -caa gga tgg gtg gat caa ta-3, 5 -ttg tat gag cca ctt ccc at-3; D7S3048: 5 -ctg gag ctg cat agt gtc ct-3, 5 -aat cat ccc tgt gtg ctt tc-3; D12S1064: 5 -act act cca agg ttc cag cc-3, 5 -aat att gac ttt ctc ttg cta ccc-3. PCR conditions: 95°C for 2 min soak, 32 cycles of 35 s at 94°C, 35 s at 60°C, 40 s at 72°C followed by a 5 min extension period at 72°C. The amplification products were separated in a vertical, native polyacrylamide gel (6% T; 5% C) and visualized by silver staining. Allele frequencies and others statistics parameters for forensic and paternity were determined for each locus by the PowerStats software packages (2). The Hardy-Weinberg equilibrium test (HWE) was performed by an exact test (3). None of the analyzed loci showed deviations from HWE (P > 0.05) in the population studied. The complete dataset is available to any interested researcher upon request to the authors.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".