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Record W1998776242 · doi:10.5539/ijb.v3n1p74

Bio-function Summary of Marine Oligosaccharides

2010· article· en· W1998776242 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Biology · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSeaweed-derived Bioactive Compounds
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsPolysaccharideMarine ecosystemOligosaccharideFunction (biology)AntimicrobialBiomass (ecology)ChemistryBiologyBiochemistryComputational biologyEcosystemMicrobiologyEcologyCell biology

Abstract

fetched live from OpenAlex

Marine ecosystems can be considered as a rather unexplored source of drugs as well as a surprising reservoir ofbioactive oligosaccharide. Marine oligosaccharides could be obtained by hydrolysis of polysaccharide existing ina variety of biomass sources or synthesized by simple oligosaccharides. In recent years, marine oligosaccharideswhich degraded by polysaccharides are attracting increasing interest in developing potential drugs for chronicdiseases. Significant efforts have been made to find and confirm their bioactivity such as anti-tumor, antimicrobial,antioxidant, anti-inflammatory and so on. In this review, the mechanisms of bio-function eliciting kinds ofapplications of different marine oligosaccharides are summarized.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.701
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

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

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 head0.257
Teacher spread0.240 · 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