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Record W4400148174 · doi:10.1016/j.cdnut.2024.103644

Identifying Nutritional Considerations to Inform Safety Assessments of Foods Derived From Cellular Agriculture: A Scoping Review Protocol

2024· review· en· W4400148174 on OpenAlexaffabout
Karima Benkhedda, Matthew D. Parrott, Atiq Ur Rehman, Subhadeep Chakrabarti, Stephanie Nishi, Vincent CH Wong, Laura Kenney

Bibliographic record

VenueCurrent Developments in Nutrition · 2024
Typereview
Languageen
FieldAgricultural and Biological Sciences
TopicFood Waste Reduction and Sustainability
Canadian institutionsHealth Canada
Fundersnot available
KeywordsProtocol (science)AgricultureRisk analysis (engineering)Environmental planningBusinessEnvironmental resource managementEnvironmental healthEnvironmental scienceMedicineGeography

Abstract

fetched live from OpenAlex

Objectives: Cellular agriculture is an emerging field in food innovation that has gained the attention of the scientific community, food industry, and regulators around the world. This scoping review aims to systematically identify and summarize existing knowledge on nutritional aspects of foods derived from cellular agriculture to characterize related hazards to consumer health, and to highlight knowledge gaps in this area. Methods: This scoping review will be conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). The review aims to explore the nutritional quality of foods derived by cellular agriculture. Review questions relate to (i) the volume of scientific literature in this area (ii) the nutritional aspects covered by the research, and (iii) any knowledge gaps. With the support of a research librarian, search strategies are developed to identify relevant publications from electronic databases and the grey literature. This review will include scientific publications (peer-reviewed journal articles; reports from regulatory, scientific, or non-governmental bodies) discussing nutritional considerations concerning cell-derived human milk analogues and foods containing cultured plant or animal cells. Publications will be screened and selected by two independent reviewers. Data extraction will be performed by one reviewer using a pre-piloted extraction template, and verified by a second. The data extracted will focus on publication source, type of product, nutritional considerations, and research gaps identified. Results: The process of study selection will be reported in a PRISMA-ScR flow diagram. Results will be presented in tables and figures and described in detail, including a narrative summary of the findings and how they relate to the review questions. Conclusions: The findings of this scoping review will inform and strengthen Health Canada’s nutritional quality assessments of novel foods derived from cellular agriculture. Identified research gaps will provide opportunities for future research in this area. Funding Sources: Internal funding-Health Canada.

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)0.000
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: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.730
Threshold uncertainty score0.873

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.132
GPT teacher head0.429
Teacher spread0.297 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations0
Published2024
Admission routes2
Has abstractyes

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