The use of flavour cards and other additives after a menthol ban in Canada
Bibliographic record
Abstract
In Canada, where bans on menthol have been implemented in the province of Ontario since January 2017 and across Canada since October 2017, products that can be used to add menthol flavour to non-mentholated tobacco such as flavour cards and menthol drops are available in stores, including the brand ‘Itsa’, which is distributed by a cigar company. These products can easily add menthol flavour by either placing the card or drops with the tobacco or in the package as a way of circumventing the ban. However, in Ontario, it appears that no major cigarette manufacturers had produced or advertised these flavour additives.1 The purpose of this letter is to examine the changes in use of after-market menthol additives after the menthol ban in Ontario. Current (past month) cigarette smokers aged 16+ living in Ontario were surveyed pre-ban …
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".