An Unusual Trichloroethanol Fatality Attributed to Sniffing Trichloroethylene
Bibliographic record
Abstract
We report the death of a 28-year-old man due to sniffing a contact cement containing trichloroethylene. Initial testing revealed the presence of 80 mg/L trichloroethanol in cardiac blood, and the death was ruled as being due to trichloroethanol toxicity resulting from chloral hydrate ingestion. However, further investigation of the case revealed that the trichloroethanol resulted from trichloroethylene abuse. Subsequent targeted analysis for trichloroethylene, four months after the death, confirmed its presence in cardiac blood (1.1 mg/L), bile (4.5 mg/L), and liver (2.5 mg/kg). Trichloroethanol was initially detected during routine drug screening that employed gas chromatography (GC) using an HP-5 column with electron capture detection and subsequently quantitated by GC using the same column as for the initial screen, but with flame-ionization detection (FID); ethchlorvynol was the internal standard. Trichloroethylene was quantitated by headspace GC with a Restek Rtx-BAC1 column and FID; 1,1,1-trichloroethane was the internal standard.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".