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The Effect of Laundering on the Detection of Acid Phosphatase and Spermatozoa on Cotton T-Shirts

2000· article· en· W2002693640 on OpenAlexvenueno aff
Gillian A Crowe, D.W. Moss, Douglas Elliot

Bibliographic record

VenueCanadian Society of Forensic Science Journal · 2000
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicForensic and Genetic Research
Canadian institutionsnot available
Fundersnot available
KeywordsSexual assaultContext (archaeology)Acid phosphataseChemistryArtGynecologyBiologyMedicinePoison controlBiochemistryEnzymeMedical emergencySuicide prevention

Abstract

fetched live from OpenAlex

In sexual assault cases, items submitted for forensic analysis are frequently examined for seminal fluid. The contents of a medical examination kit taken from the victim, particularly the genital swabs, are often the main source of associative DNA evidence. Depending on the circumstances, however, the examination of clothing and bedding can also be important. A standard procedure used in searching clothing is to screen for acid phosphatase and to confirm the presence of seminal fluid by examination for spermatozoa. It is frequently assumed that laundering the item in question will remove acid phosphatase and therefore testing for this enzyme is not useful. We have washed and laundered seminal stains on cotton T-shirts in a variety of ways, including dry cleaning. The cleaned fabric was screened for acid phosphatase, and the presence of spermatozoa determined. The DNA content of the cleaned stain was quantified and Short Tandem Repeat (STR) profiles were obtained using the CTT triplex. The results obtained are discussed in the context of the overall examination tactics in sexual assault cases.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.007
GPT teacher head0.242
Teacher spread0.235 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations37
Published2000
Admission routes1
Has abstractyes

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