MétaCan
Menu
Back to cohort

Lipid Oxidation Products in Food and Atherogenesis

2009· review· en· W2051824097 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

VenueNutrition Reviews · 2009
Typereview
Languageen
FieldMedicine
TopicAntioxidant Activity and Oxidative Stress
Canadian institutionsMcGill University
Fundersnot available
KeywordsLipid oxidationFood scienceChemistryMedicineBiochemistryAntioxidant

Abstract

fetched live from OpenAlex

Lipid oxidation products are present in unknown amounts in the food supply of industrialized societies. Evidence for a putative role of some of these compounds in accelerating events in the atherogenic process--the initiation of endothelial injury, the accumulation of plaque, and the termination phase of thrombosis--comes from both animal and human studies. Although metabolic and epidemiological studies in humans and animals generally support the concept that a higher intake of polyunsaturates is beneficial to lipoprotein metabolism and cardiovascular health, some findings suggest that a diet high in polyunsaturated fatty acids that are insufficiently protected by antioxidants, such as vitamin E, may carry a higher risk of atherosclerosis. Although gross pathological effects of ingestion of lipid oxidation products are unlikely in the human feeding situation, more subtle metabolic actions of these compounds on vitamin E status, platelet activity, and lipoprotein metabolism cannot yet be discounted. The presence of reactive lipid oxidation components in foods needs more systematic research in terms of the metabolic effects of these compounds and their occurrence in the usual diet, as well as the associated antioxidant requirements.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.932
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
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 head0.115
GPT teacher head0.360
Teacher spread0.246 · 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