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Record W1039830940 · doi:10.2478/cttr-2013-0770

Evolution of Tobacco-Specific Nitrosamines and Microbial Populations During Flue-Curing of Tobacco Under Direct and Indirect Heating

2004· article· en· W1039830940 on OpenAlexaffabout
A. Morin, Andrew C.G. Porter, J.P. Joly, A Ratavicius

Bibliographic record

VenueContributions to Tobacco & Nicotine Research · 2004
Typearticle
Languageen
FieldEnvironmental Science
TopicIndoor Air Quality and Microbial Exposure
Canadian institutionsBritish American Tobacco (Canada)
Fundersnot available
KeywordsCuring of tobaccoCuring (chemistry)ChemistryTobacco leafFood scienceTobacco productHorticultureToxicologyBiologyPolymer chemistryMedicine

Abstract

fetched live from OpenAlex

Abstract Canadian tobacco was flue-cured using two different heating systems: direct-fired in which the exhaust gases were in contact with the tobacco and indirect in which only hot air, via a heat exchanger, contacted the tobacco. The concentrations of tobacco-specific nitrosamines (TSNAs) in tobacco cured by indirect heating did not increase during curing and were in the range 0.25-0.35 ppm. There were no changes in TSNA concentrations (range 0.13-0.3 ppm) in tobacco cured by direct firing during the first six days (0-144 h) of curing. However between 168 and 264 h, significant increases in TSNAs occurred (up to 1.91 ppm). TSNA concentrations in leaves at the bottom of the plant were significantly higher than in those found at higher plant position. There were no significant differences in TSNA concentrations in tobacco cured on different farms. The TSNA concentrations in tobacco cured by indirect heat were 87% ± 5% lower than in tobacco cured by direct heat. Subsequent processing of tobacco did not change the relative concentrations of TSNAs.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.393
Threshold uncertainty score0.951

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.033
GPT teacher head0.318
Teacher spread0.285 · 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 designBench or experimental
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

Citations5
Published2004
Admission routes2
Has abstractyes

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