Deliveries of Tar, Nicotine and CO in Mainstream Cigarette Smoke Under Health Canada Smoking Regime
Bibliographic record
Abstract
In order to investigate the influence of Canadian Intense smoking regime(HCI) on the deliveries of tar,nicotine(nic) and carbon monoxide(CO) in mainstream cigarette smoke, a collaborative study involving 18smoking machines in 12 laboratories were carried out by smoking 10 cigarette samples under ISO and HCI smoking regimes respectively. The results demonstrated that: 1) The deliveries of total particulate matters(TPM), tar, nic,CO, and moisture content under HCI smoking regime were much more higher than those under ISO smoking regime, and the ratios of HCI and ISO deliveries of the same components increased with the decrease of tar delivery determined under ISO regime. 2) The ratios of HCI and ISO deliveries of tar, nic and CO were similar,TPM ratio was slightly higher, while the moisture content significantly raised under HCI regime. 3) The ratios of HCI and ISO deliveries of tar, nic and CO augmented with the increase of ventilation rate of cigarette filter.4) Comparing with rotary smoking machine, linear smoking machine gave higher tar delivery, lower CO delivery, and similar nicotine delivery. 5) The determined results for 1R5F and CM6 in this study demonstrated better agreement with their reference values and the results by relevant international collaborative studies.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".