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Record W3082693268 · doi:10.1002/9781119143802.ch119

Novel Marine Sources of Nutraceuticals and Functional Foods

2020· other· en· W3082693268 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.872
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.018
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