Botanicals and the Regulatory Framework on Food Supplements in the European Union: a Tricky Relationship
Bibliographic record
Abstract
In the EU and many other countries (China, Japan, Usa, Canada, etc.), there is a growing interest in producing and consuming health food products. Botanicals (e.g. plants and preparations made from plants, algae, fungi or lichens) represent a large segment of the health food category and their regulation presents several critical issues due to their complex nature and multifaceted usage. This article therefore gives an overview of the most important issues related to the regulation of botanicals in the food supplements sector. After a brief description of the regulatory status of botanical based foodstuffs, it outlines the legal framework of botanical food supplements, taking into consideration the interferences between the medicinal domain and the food sector in the classification of borderline botanical products and the issue of the safety assessment of botanicals. In the final part, it deals with the thorny question of the health claims made on such products.
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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 | 0.021 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.012 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.018 | 0.009 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
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".