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Record W3082693268 · doi:10.1002/9781119143802.ch119

Novel Marine Sources of Nutraceuticals and Functional Foods

2020· other· en· W3082693268 on OpenAlexaff
Janet C. Tou, Christopher Oldaker, Yvonne Yuan

Bibliographic record

VenueEncyclopedia of Marine Biotechnology · 2020
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicSeaweed-derived Bioactive Compounds
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsNutraceuticalFunctional foodFood scienceDietary fiberBiologyChlorophyceaeKrillHealth benefitsBotanyAlgaeEcologyChlorophytaTraditional medicine

Abstract

fetched live from OpenAlex

This chapter discusses the alternate novel marine sources of nutraceuticals and functional foods and the associated biological activities and health benefits. Krill (Order Euphausiacea) is a marine crustacean comprised of over 80 different species. Based on the nutrient composition, krill offer an attractive addition to the human diet. Macroalgae have been incorporated into traditional diets as fresh or blanched components of salads, soups, or garnishes in the Philippines, Indonesia, China, Japan, Korea, Taiwan, and Vietnam. The lipid component of the edible macroalgae was variable within Rhodophyta (0.2–6.2% dry wt), Chlorophyceae (0.1–2.9%), and Phaeophyceae (0.1–5%) within a small range. The marine macroalgal polysaccharides play a large role in the food industry as phycocolloids or hydrocolloids, namely as thickeners, stabilizers, and texturizing agents, are resistant to intestinal digestion enzymes, and therefore can be considered as part of the soluble dietary fiber fraction.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0180.008

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.

Opus teacher head0.018
GPT teacher head0.215
Teacher spread0.197 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

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

Citations3
Published2020
Admission routes1
Has abstractyes

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