ITC EUREST-PLUS Spain: protocol of a prospective longitudinal study of smokers in Spain
Bibliographic record
Abstract
The ITC EUREST-PLUS Spain Survey is a longitudinal study of a representative sample of Spanish adult (≥18 years old) smokers. This protocol describes the methods of the 2021 follow-up survey. The ITC EUREST-PLUS Survey, a prospective cohort study of a representative sample of smokers in six European countries, was conducted in 2016 (baseline) and 2018 (waves 1 and 2). The 2021 ITC EUREST-PLUS Spain Survey is a continuation of the Spanish cohort with a new interview in 2021 (wave 3). Lost participants were replaced with new smokers recruited using the same multi-stage sampling design. This latest follow-up aims to examine current patterns and transitions of tobacco use and to evaluate the impact of new tobacco-related policies. The ITC EUREST-PLUS Spain Survey will provide recent information about the impact of tobacco control policies on smoking behaviour. La encuesta ITC EUREST-PLUS España es un estudio longitudinal de una muestra representativa de fumadores adultos (≥18 años) españoles. Este protocolo describe los métodos de la encuesta de seguimiento de 2021. La encuesta ITC EUREST-PLUS, un estudio de cohortes prospectivo de una muestra representativa de fumadores en seis países europeos, se realizó en 2016 y 2018 (olas 1 y 2). La encuesta ITC EUREST-PLUS España de 2021 es una continuación de la cohorte española con una nueva entrevista en 2021 (ola 3). Se sustituyeron las pérdidas con nuevos fumadores reclutados usando el mismo diseño muestral multietápico. Este último seguimiento pretende examinar los patrones actuales y las transiciones del uso de tabaco, y evaluar el impacto de nuevas políticas relacionadas con el tabaco. La encuesta ITC EUREST-PLUS España de 2021 proporcionará información reciente sobre el impacto de las políticas de control del tabaco en el consumo de tabaco.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".