Drug Recognition Evaluation and Chemical Confirmation of a 25C‐<scp>NBOM</scp>e‐Impaired Driver
Bibliographic record
Abstract
This case report details an individual arrested for drug-impaired driving after leaving the scene of multiple motor vehicle collisions and evading police. The driver was examined by a drug recognition expert and failed the drug recognition evaluation. The driver admitted to using cocaine, marijuana, an antidepressant medication and "N-bomb," a novel psychoactive substance that possesses hallucinogenic properties. Toxicological analyses at the Centre of Forensic Sciences' Toronto laboratory revealed only the substance 2-[4-chloro-2,5-dimethoxyphenyl]-N-[(2-methoxyphenyl)methyl]ethanamine (25C-NBOMe) in the accused's urine. This is the first report in which 25C-NBOMe was identified through DRE and toxicological analyses in a drug-impaired driver.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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 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".