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Record W1969643754 · doi:10.1159/000112458

Nutritional Determinants of the Metabolic Syndrome

2008· review· en· W1969643754 on OpenAlexaff
Andrea R. Josse, David J.A. Jenkins, Cyril W.C. Kendall

Bibliographic record

VenueLifestyle Genomics · 2008
Typereview
Languageen
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsUniversity of TorontoUniversity of SaskatchewanSt. Michael's Hospital
Fundersnot available
KeywordsPolyunsaturated fatty acidFood scienceGlycemic indexMetabolic syndromeCarbohydrateGlycemic loadDietary fiberChemistryBiologyBiotechnologyBiochemistryFatty acidDiabetes mellitusInsulinGlycemicEndocrinology

Abstract

fetched live from OpenAlex

The metabolic syndrome has attracted interest because of its relevance to major contemporary chronic diseases associated with inactive lifestyles and the abundance of food, both of which have resulted in a way of life which challenges our genetic makeup. Changing the fuel mix by the introduction of more monounsaturated and polyunsaturated fatty acids, a reduction in saturated fatty acids, an increase in fiber, and the use of low glycemic index slow-release carbohydrate foods may make a difference, as will increasing the amount of vegetable protein and plant foods such as nuts, rich in monounsaturated fatty acids and antioxidant systems. Nevertheless, these supportive measures will be overwhelmed in the absence of calorie restriction combined with adequate energy expenditure. This situation appears to be one where the subsidiary solutions are complex and the central issue is simple.

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 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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.983
Threshold uncertainty score0.932

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
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 head0.042
GPT teacher head0.310
Teacher spread0.268 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations12
Published2008
Admission routes1
Has abstractyes

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