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Record W2007154912 · doi:10.1111/nure.12057

Epigenetic programming of obesity and diabetes by in utero exposure to gestational diabetes mellitus

2013· review· en· W2007154912 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 · 2013
Typereview
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsCégep de ChicoutimiUniversité de Sherbrooke
Fundersnot available
KeywordsGestational diabetesFetal programmingOffspringEpigeneticsDiabetes mellitusIn uteroObesityMedicinePregnancyAdipokineFetusBioinformaticsEndocrinologyInternal medicineGestationBiologyInsulin resistanceGeneticsGene

Abstract

fetched live from OpenAlex

It is now well accepted that offspring exposed to maternal undernutrition, obesity, or gestational diabetes mellitus have an increased risk for chronic diseases later in life, supporting the theory of the early origins of chronic diseases. However, the molecular mechanisms through which the exposure to an altered in utero environment translates into the development of chronic diseases are not yet well understood. Recently reported promising results help to resolve this issue. They suggest that epigenetic modifications are a potential mechanism for fetal metabolic programming. This review provides an overview of the relationship between the exposure to an altered intrauterine environment and fetal metabolic programming, focusing on gestational diabetes mellitus and epigenetic variations at adipokine candidate genes.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.927
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
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 head0.052
GPT teacher head0.339
Teacher spread0.286 · 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