Validation Study of the “Onestep ABAcard® PSA Test” Kit for RCMP Casework
Bibliographic record
Abstract
The commercially available One Step ABAcard® PSA test (Abacus Diagnostics, West Hills, CA) was evaluated for the forensic identification of semen. The test is shown to have a sensitivity of 4 ng/mL PSA. No detectable levels of PSA were identified in saliva, blood, or female urine. As expected, liquid urine from male donors yielded positive results. Furthermore, PSA was detected in the vagina for at least 24 hours after intercourse. Comparison of the results from the ABAcard® to the acid fast blue test for acid phosphatase and the cross-over electrophoresis test for PSA reveals that the ABAcard® test is more specific than the acid fast blue test and at least one hundred times more sensitive than the cross-over technique. Evaluation of the ABAcard® using forensic case samples revealed that it is appropriate for forensic use on samples to be subsequently examined by DNA analysis. The One Step ABAcard® PSA test was shown to be reliable, sensitive, and specific, and therefore appropriate for forensic application in the identification of semen.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.018 | 0.054 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".