DRUG USE AMONG QUEBEC DRIVERS: THE 1999 ROADSIDE SURVEY
Bibliographic record
Abstract
As part of a major undertaking to establish the role of drugs in highway collisions, the Societe de l'assurance automobile du Quebec (SAAQ) conducted a roadside survey from August 9 to August 29, 1999 in order to determine drug use among Quebec drivers. Regardless of time of day, a BAC above the legal limit (.08) was found in 0.8% of the breath samples. When using the same time period (9 PM to 3 AM, Wednesday to Sunday) as in previous alcohol roadside surveys, BAC>.08 was found in 1.8% (+/- 0.5%) of breath samples in 1999 (n = 2724) which compares to 3.2% in 1991, 3.6% in 1986 and 5.9% in 1981. According to the toxicological analysis of the 2281 urine samples, drugs were found in the following proportions: cannabis (5.22%), benzodiazepines (3.66%), cocaine (1.09%), opiates (1.08%), barbiturates (0.35%), amphetamines (0.07%), PCP (0.03%). However, large variations are observed depending on the time of day, sex and age. For the covering abstract see ITRD E106992.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
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".