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Record W2085554824 · doi:10.1039/b611985a

Encapsulation-stucturing of edible oil attenuates acute elevation of blood lipids and insulin in humans

2006· article· en· W2085554824 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueSoft Matter · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLipid metabolism and biosynthesis
Canadian institutionsUniversity of WaterlooUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMonoglycerideCrystallizationLamellar structureTriglycerideChemistryGlycerolFood scienceMaterials scienceChemical engineeringFatty acidBiochemistryMetallurgyOrganic chemistryCholesterol

Abstract

fetched live from OpenAlex

Blood triglyceride, free fatty acid and insulin levels are lower after acute intake of an oil-water-monoglyceride gel versus an oil-water mixture, demonstrating that food matrix nanostructure and microstructure can be engineered to modulate the physiological response. Oil emulsification by the monoglyceride Lα liquid-crystalline lamellar phase, followed by droplet wall crystallization, encapsulates oil and creates a material with the functionality and properties of a fat. This novel phase is devoid of trans fatty acids and can be manufactured with as little as 4% added saturated monoglyceride.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score0.277

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)0.0000.000

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 head0.004
GPT teacher head0.201
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