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Effect of a low glycemic index diet versus a high-cereal fibre diet on markers of subclinical cardiac injury in healthy individuals with type 2 diabetes mellitus: An exploratory analysis of a randomized dietary trial

2017· article· en· W2757979835 on OpenAlexafffund
Vanessa Ha, Effie Viguiliouk, Cyril W.C. Kendall, Balachandran Bashyam, David J.A. Jenkins, Peter A. Kavsak, John L. Sievenpiper

Bibliographic record

VenueClinical Biochemistry · 2017
Typearticle
Languageen
FieldNursing
TopicFood composition and properties
Canadian institutionsUniversity of SaskatchewanSt. Michael's HospitalImpactUniversity of TorontoMcMaster University
FundersPulse CanadaBanting and Best Diabetes Centre, University of TorontoInternational Nut and Dried Fruit CouncilKellogg'sDiabetes CanadaPeanut InstituteSoyfoods Association of North AmericaSaskatchewan Pulse GrowersAdvanced Foods and Materials NetworkPhysicians' Services Incorporated FoundationCanada Foundation for InnovationUnileverAmerican Society for NutritionCanola Council of CanadaAgriculture and Agri-Food CanadaCanadian Institutes of Health ResearchAlmond Board of CaliforniaAmerican Pistachio GrowersCalifornia Strawberry CommissionCoca-Cola Foundation
KeywordsMedicineGlycemic indexTroponin IInternal medicineSubclinical infectionGlycemicDiabetes mellitusRandomized controlled trialType 2 Diabetes MellitusEndocrinologyMyocardial infarction

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.004
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.320
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.031
GPT teacher head0.354
Teacher spread0.322 · 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.

Study designRandomized trial
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

Citations11
Published2017
Admission routes2
Has abstractno

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