MétaCan
Menu
Back to cohort
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 OpenAlexafffund
Alejandro G. Marangoni, Stefan H. J. Idziak, C. Mateos Vega, Heidi D. Batte, Michel Ollivon, Pamela S. Jantzi, James W. E. Rush

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.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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 science0.0000.000
Research integrity0.0000.001
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 head0.004
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

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 designObservational
Domainnot available
GenreEmpirical

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

Citations115
Published2006
Admission routes2
Has abstractyes

Explore more

Same venueSoft MatterSame topicLipid metabolism and biosynthesisFrench-language works237,207