Safety Assessment on the Change of Conditions of Use for the Novel Food, UV-treated Baker’s Yeast (RP1908)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The Food Standards Agency (FSA) and Food Standards Scotland (FSS) received an application from Lallemand Bio-ingredients, Canada (“the applicant”) for a change in the intended conditions of use of UV-treated Baker’s yeast ( Saccharomyces cerevisiae ) as a novel food in February 2023. The novel food is UV-treated Baker’s yeast which is intended to be used as a food ingredient. The novel food is manufactured by treating Baker’s yeast with ultraviolet light to induce the conversion of ergosterol to vitamin D 2 (ergocalciferol). UV-treated Baker’s yeast is currently authorised as a novel food in the UK and EU under assimilated Commission Regulation (EU) 2017/2470. This new application is a change in the conditions of use seeking to extend the intended use of UV-treated Baker’s yeast within the food category: water-based beverages. The FSA and FSS in their evaluation of the application reviewed the safety dossier and supplementary information provided by the applicant. The FSA and FSS did not consider any potential health benefits or claims arising from consuming the food, as the focus of the novel food assessment is to ensure the change in the conditions of use to extend the food is safe, and not putting consumers at a nutritional disadvantage. The FSA and FSS concluded that the applicant had provided sufficient information to assure that the change in the conditions of use for UV-treated Baker’s yeast to include the food category water-based beverages, was safe under the intended conditions of use. The anticipated intake levels and the intended use in foods was not considered to be nutritionally disadvantageous. The safety assessment represents the opinion of the FSA and FSS.
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.
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 | 0.000 |
| 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 it