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Record W2918539756

Indice et charge glycémiques de l'alimentation et relations avec l'obésité et le syndrome métabolique au sein de l'étude des familles de Québec (QFS)

2014· article· fr· W2918539756 on OpenAlexfundaboutno aff
Kathryn Adel

Bibliographic record

VenueCorpus Université Laval (Université Laval) · 2014
Typearticle
Languagefr
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsnot available
FundersFonds de Recherche du Québec - SantéCanadian Institutes of Health ResearchInstitut universitaire de cardiologie et de pneumologie de Québec, Université Laval
KeywordsMedicineGynecologyPsychology
DOInot available

Abstract

fetched live from OpenAlex

Les associations entre l’indice et la charge glycémique (IG, CG) de l’alimentation et l’obésité et le syndrome métabolique (SM) demeurant controversées, celles-ci ont été explorées au sein des participants de l’étude des familles de Québec. Des associations positives significatives ont été observées entre l’IG, la CG et l’obésité, de même qu’entre les changements de CG et les changements d’adiposité avec le temps chez les femmes seulement. Cependant, certaines associations n’étaient plus significatives après exclusion des participants ayant fait des déclarations alimentaires improbables. Les associations entre l’IG, la CG et le SM ou ses facteurs de risque n’étaient généralement pas significatives. Ces résultats suggèrent que les femmes ayant une alimentation à IG et CG élevés sont plus à risque d’obésité et qu’une augmentation de la CG de leur alimentation est associée à des gains d’adiposité. Ils illustrent aussi l’importance de considérer la déclaration improbable de l’apport énergétique dans ce type d’études.

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)0.002
metaresearch head score (Gemma)0.006
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score0.176

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.000

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 head0.012
GPT teacher head0.238
Teacher spread0.226 · 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

Citations0
Published2014
Admission routes2
Has abstractyes

Explore more

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