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Record W2471135247 · doi:10.1021/bk-2007-0956.ch019

Antioxidants from Edible Seaweeds

2007· book-chapter· en· W2471135247 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

VenueACS symposium series · 2007
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicSeaweed-derived Bioactive Compounds
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsAlgaeAntioxidantCarotenoidBiologyBotanyBrown algaeAscorbic acidFood scienceBiochemistry

Abstract

fetched live from OpenAlex

There is a long history of seaweed consumption including Phaeophyceae, Chlorophyceae and Rhodophyceae taxonomies in Asia and the Pacifics, versus low to zero intakes in Europe and the Americas. This dietary difference between populations coincides with dramatic differences in diet-related chronic disease risks such as breast cancer in these groups. Animal model evidence points to a role for edible algae in antioxidant-mediated effects in vivo. As intertidal organisms, seaweeds require an endogenous antioxidant capacity to protect against oxidative stress from UV light and dessication during tidal fluctuations. The antioxidant capacity of algae include L-ascorbic acid, glutathione, carotenoids, tocopherols, chlorophyll derivatives, polyphenols such as the phlorotannins in brown kelp and mycosporine-like amino acids in red algae. This chapter reviews the evidence underlying the antioxidant mechanisms of these algal constituents and discusses various issues for their analysis.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.924
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.035
GPT teacher head0.225
Teacher spread0.190 · 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