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Record W3142050569 · doi:10.2903/j.efsa.2021.6553

General scientific guidance for stakeholders on health claim applications (Revision 1)1

2021· article· en· W3142050569 on OpenAlexaff

Bibliographic record

VenueEFSA Journal · 2021
Typearticle
Languageen
FieldMedicine
TopicConsumer Attitudes and Food Labeling
Canadian institutionsNovelis (Canada)
Fundersnot available
KeywordsTransparency (behavior)European commissionHealth claims on food labelsCommissionMedicineSet (abstract data type)Public relationsPolitical scienceLawBusinessComputer scienceEuropean union

Abstract

fetched live from OpenAlex

[Table: see text] The general guidance for stakeholders on the evaluation of Article 13(1), 13(5) and 14 health claims was first published in March 2011. Since then, the Panel on Dietetic Products Nutrition and Allergies (NDA) has completed the scientific assessment of Article 13(1) claims except for claims put on hold by the European Commission, and has assessedadditional health claim applications submitted pursuant to Articles 13(5), 14 and also 19. In addition, comments received from stakeholders indicate that general issues that are common to all health claims need to be further clarified and addressed. This guidance document aims to explain the general scientific principles applied by the NDA Panel for the scientific assessmentof all health claims and outlines a series of steps for the compilation of applications. The general guidance document represents the views of the NDA Panel based on the experience gained to date with the scientific assessment of health claims, and it may be further updated, as appropriate, when additional issues are addressed.The document also aims to inform applicants of newprovisionsin the pre-submission phase and in the application procedure set out in the General Food Law, as amended by the Transparency Regulation. These new provisions are applicable to all applications submitted as of 27 March 2021. The version of this guidance published in 2016 remains applicable for applications submitted before 27 March 2021.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.896
Threshold uncertainty score0.431

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.115
GPT teacher head0.374
Teacher spread0.259 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations93
Published2021
Admission routes1
Has abstractyes

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