Evolution of single‐nucleotide polymorphism use in forensic genetics
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Although short tandem repeats (STRs) are traditionally the marker of choice for traditional forensic DNA typing applications, single‐nucleotide polymorphisms (SNPs; pronounced “snips”) and microhaplotypes (MHs) are additional genetic marker classes than can be utilized for generating genetic profile information that may result in new investigative leads and human identity determination(s). For example, when working with DNA samples of poor quality and/or low quantity, a SNP‐based approach could be invaluable in providing investigators information about a person's ancestry and physical characteristics and could provide a viable human identification profile for comparison. In this primer, we briefly discuss the various classes and applications of SNPs and MHs to demonstrate the tremendous amount of forensically relevant information that these markers can provide forensic investigations. This article is categorized under: Forensic Biology > Interpretation of Biological Evidence Forensic Biology > Ancestry Determination using DNA Methods Forensic Biology > Phenotypic Markers
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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 | 0.002 | 0.000 |
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.003 |
| 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 it