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Record W2162795698 · doi:10.1503/cmaj.070627

Treatment of tobacco dependence: integrating recent progress into practice

2007· review· en· W2162795698 on OpenAlexaffvenue
Bernard Le Foll, Tony P. George

Bibliographic record

VenueCanadian Medical Association Journal · 2007
Typereview
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsCentre for Addiction and Mental Health
Fundersnot available
KeywordsVareniclineBupropionNicotine replacement therapyMedicineTobacco harm reductionTobacco usePharmacotherapyPsychological interventionIntensive care medicineSmoking cessationNicotineNicotine dependenceEnvironmental healthPsychiatry

Abstract

fetched live from OpenAlex

Tobacco use is one of the leading preventable causes of death in developed countries. Adoption of approaches that have demonstrated efficacy to improve the treatment of tobacco dependence are critical to reduce the health consequences of tobacco use. We summarize the latest epidemiologic data on tobacco use, the mechanisms that underlie tobacco dependence, and advances in pharmacotherapy and nonpharmacologic interventions available for the treatment of tobacco dependence. Specifically, we discuss the use of nicotine replacement therapy, bupropion and varenicline in primary care settings.

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0030.003
Science and technology studies0.0000.001
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.052
GPT teacher head0.405
Teacher spread0.353 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations82
Published2007
Admission routes2
Has abstractyes

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