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Record W2979954091 · doi:10.18332/tid/111603

The effect of industry vs government induced cigarette price increase on national cigarette consumption in Taiwan, 2011-2018

2019· article· en· W2979954091 on OpenAlexfundno aff
Wayne Gao, Mattia Sanna

Bibliographic record

VenueTobacco Induced Diseases · 2019
Typearticle
Languageen
FieldNursing
TopicNutrition, Health and Food Behavior
Canadian institutionsnot available
FundersJapan Society for the Promotion of ScienceCanadian Institutes of Health Research
KeywordsConsumption (sociology)Government (linguistics)BusinessEnvironmental healthAgricultural economicsEconomicsMedicine

Abstract

fetched live from OpenAlex

The program consisted of lectures and exercises to "provide information on the harm of active smoking and passive smoking" and "smoking cessation support, including counseling skills." One program covered five hours. Evaluation method A questionnaire survey was administered before and after the program. Main survey items: Before the program, basic attributes, number of working years in nursing, number of working years in smoking cessation, smoking cessation status, learning status of smoking cessation, confidence, and importance of smoking cessation, etc. After the workshop, impressions of the workshop, including degree of satisfaction and learning in the workshop, confidence, and importance of smoking cessation support, etc. This study was approved by the ethics committee of the organization.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.020
GPT teacher head0.293
Teacher spread0.273 · 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.

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
Published2019
Admission routes1
Has abstractyes

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