MétaCan
Menu
Back to cohort
Record W2042949597 · doi:10.1159/000332073

Folate Recommendations for Pregnancy, Lactation, and Infancy

2011· article· en· W2042949597 on OpenAlexafffund
Yvonne Lamers

Bibliographic record

VenueAnnals of Nutrition and Metabolism · 2011
Typearticle
Languageen
FieldMedicine
TopicFolate and B Vitamins Research
Canadian institutionsUniversity of British Columbia
FundersCanadian Institutes of Health ResearchCanada Research Chairs
KeywordsPregnancyMedicineLactationFolic acidFood fortificationFortificationAdverse effectPhysiologyBreast feedingBreast milkGestationObstetricsEnvironmental healthPediatricsFood scienceInternal medicineBiologyBiochemistry

Abstract

fetched live from OpenAlex

An adequate intake of folate during pregnancy, lactation, and infancy is essential for maternal and child health and normal growth. Higher folate requirements during pregnancy and lactation are difficult to meet by increased intake of folate-rich food products only. Supplementation with folic acid is recommended not only to meet the higher requirements but also to prevent adverse pregnancy outcomes such as neural tube defects (NTDs). In countries that have implemented food fortification with folic acid, the folate intake has raised but does not yet meet the recommended amount for NTD risk reduction. Women's awareness of the need to supplement with folic acid prior to conception shall be raised in all countries. It is under debate whether a high folic acid intake might have metabolic and functional effects in utero and for the infant. Research is needed to investigate potential alternative folate forms for food fortification programs and to test their efficacy in risk reduction of adverse pregnancy outcomes. Breast-fed infants most likely receive sufficient folate. While the folate level of human milk is simulated in infant formula, data are lacking on the bioavailability and effect of folic acid in infants and on whether a tolerable upper intake level should be defined.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.807
Threshold uncertainty score0.222

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.166
GPT teacher head0.395
Teacher spread0.229 · 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 designOther design
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

Citations71
Published2011
Admission routes2
Has abstractyes

Explore more

Same venueAnnals of Nutrition and MetabolismSame topicFolate and B Vitamins ResearchFrench-language works237,207