Forensic toxicology in drug-facilitated sexual assault
Bibliographic record
Abstract
The low rates of reporting, prosecution and conviction that characterize sexual assault, is likely even more evident in drug-facilitated cases. Typically, in these crimes, victims are incapacitated and left unable to resist sexual advances, unconscious, unable to fight off the abuser or to say "no" and unable to clearly remember the circumstances surrounding the events due to anterograde amnesia. The consequence is the delay in performing toxicological analysis aggravated by the reluctance of the victim to disclose the crime. Moreover since "date rape drugs" are often consumed with ethanol and exhibit similar toxicodynamic effects, the diagnosis is erroneously performed as being classical ethanol intoxication. Therefore, it is imperative to rapidly consider toxicological analysis in drug-facilitated sexual assaults. The major focus of this review is to harmonize practical approaches and guidelines to rapidly uncover drug-facilitated sexual assault, namely issues related to when to perform toxicological analysis, toxicological requests, samples to be collected, storage, preservation and transport precautions and xenobiotics or endobiotics to be analyzed.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".