Chemicals in aerosols generated from heated tobacco products and their biological effects
Bibliographic record
Abstract
喫煙者の健康志向の高まりや2020年4月から完全施行された改正健康増進法を受けて，紙巻きたばこの喫煙から加熱式たばこ製品の使用へと，喫煙者の行動変容が進んでいる。それに伴い，加熱式たばこ製品の開発競争も激しさを増し，加熱式たばこの加熱装置や専用たばこスティックの種類は，年々増加の一途をたどっている。加熱式たばこでは，主流煙中の化学物質量が低減されているが，能動喫煙者や受動喫煙者の健康リスクに関する科学的エビデンスは圧倒的に少ない。また，たばこ主流煙の吸煙プロトコールとして，紙巻きたばこの場合，ISO(International Organization for Standardization)法やHCI(Health Canada Intense)法が標準的な方法として用いられているが，加熱式たばこでは，CORESTA(the Cooperation Centre for Scientific Research Relative to Tobacco)の技術報告書(Heated Tobacco Product-259-CORESTA technical report)が2020年7月に公表されたばかりで，世界標準の方法は確立されていない。本総説では，加熱式たばこ製品の特徴や種類，化学分析のための吸煙条件，加熱式たばこ主流煙の生体影響について，概説する。
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".