The analysis of mainstream smoke emissions of Canadian ‘super slim’ cigarettes
Bibliographic record
Abstract
BACKGROUND: Super slim cigarettes are a relatively new type of cigarette in Canada, and an analysis of select toxicants in the mainstream smoke emissions of the super slim cigarette was conducted. METHOD: The yields of selected toxicants in the mainstream smoke emissions of six brands of super slim cigarettes were compared with the Canadian Benchmark, which represents the cigarette designs most commonly found in Canada. A super slim cigarette was also compared with a 'Reference Cigarette' to study the impact of the significantly reduced circumference on mainstream smoke emissions. RESULTS: Compared with the Canadian Benchmark, the yields of carbon monoxide, the carbonyls, volatiles and the aromatic amines were significantly lower for the super slim cigarette, but the yields of formaldehyde and ammonia were significantly higher. For brands containing a mixed tobacco blend, the yields of tobacco-specific nitrosamines were increased significantly. The reduced circumference of the super slim cigarette resulted in a lower tobacco weight, which together with filter ventilation resulted in lower yields of many toxicants. However, the reduced circumference increased significantly the yields of formaldehyde and phenols in mainstream smoke emissions. CONCLUSIONS: The notably slimmer design of the super slim cigarette resulted in lower yields of some toxicants in the mainstream smoke emissions. However, there were also significant increases in some toxicant levels in the mainstream smoke emissions including formaldehyde, ammonia and the phenols. There are no changes in emission levels that have been shown to reduce exposure or risk in a way that is meaningful, and therefore, the super slim cigarette should not be considered a 'less harmful' cigarette.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".