Bibliographic record
Abstract
The Joint Action on Tobacco Control (JATC) was launched in October 2017. This comprehensive EU funded project aims to provide support for the implementation of the Tobacco Products Directive (TPD) across the 28 EU Member States. The TPD is a complex legislative document that lays down the rules governing the manufacture, presentation and sale of tobacco and related products, while also supporting the functioning of the internal market of tobacco products in the EU. The JATC addresses the issue of tobacco product monitoring at an EU wide level through facilitating access of data within the EU Common Entry Gate (EU-CEG), assessing tobacco and e-cigarette product compliance to the TPD, assessing aspects of laboratory harmonisation and evaluating the role of priority additives in tobacco products. This 36-month project operates with 9 Work Packages and involves 30 Partners and an additional 13 Collaborating Partners, an activity that would be impossible to be done by one, or a few, EU MS by themselves.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.024 | 0.018 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.004 | 0.009 |
| Research integrity | 0.020 | 0.010 |
| Insufficient payload (model declined to judge) | 0.012 | 0.008 |
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 source (direct Gemma or distilled Codex), 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".