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Record W2358642374

Effect of smoking regime on aromatic amines yields in mainstream cigarette smoke

2013· article· en· W2358642374 on OpenAlexaboutno aff
Lian Zhang

Bibliographic record

VenueJournal of Hunan University of Arts and Science · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicAir Quality and Health Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsSidestream smokeChemistrytar (computing)SmokeCigarette smokeAromatic amineOrganic chemistryEnvironmental chemistryWaste managementToxicologyEngineering
DOInot available

Abstract

fetched live from OpenAlex

In order to study the effect of smoking regime on aromatic amines yields in mainstream cigarette smoke, 15 kinds of commercially available cigarette samples were smoked under three smoking regimes: ISO, Massachusetts and Health Canada methods, respectively. Then LC-MS/MS method was applied to test the released amount of four kinds of primary aromatic amines in the mainstream smoke. The results showed that: ① Blended cigarettes released significantly higher amount of aromatic amines than flue-cured counterparts; ② Compared with ISO method, the aromatic amines emission content had dramatically increased when Massachusetts method or Health Canada method was adopted; ③ Transformation of smoking regimes showed a greater impact of high filter ventilation rate cigarettes on the content of released aromatic amines; ④ The tar and the emission content of aromatic amines in the mainstream smoke presented some inconspicuous correlation.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.144
Threshold uncertainty score0.264

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.019
GPT teacher head0.247
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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