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Record W2073752739 · doi:10.1055/s-2005-872404

Homocysteine and Folic Acid: Implications for Pregnancy

2005· review· en· W2073752739 on OpenAlexaboutno aff
Sean Daly, Amanda Cotter, Anne M. Molloy, John M. Scott

Bibliographic record

VenueSeminars in Vascular Medicine · 2005
Typereview
Languageen
FieldMedicine
TopicFolate and B Vitamins Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePregnancyHomocysteinePreeclampsiaNeural tubeFolic acidNeural tube defectObstetricsDiseaseInternal medicineFetus

Abstract

fetched live from OpenAlex

The role of folic acid and homocysteine in pregnancy is becoming clearer. The efforts of many countries to prevent neural tube defects through public awareness of folic acid have been disappointing, but evidence is now emerging that the food fortification programs in the United States and Canada are effective in reducing the numbers of neural tube defects, and there may be additional benefits in terms of other congenital defects such as oral-facial clefts and congenital heart disease. Homocysteine has a significant association with vascular disease in later life, is elevated in preeclampsia, and has been associated with other pregnancy complications such as early pregnancy loss. The data from cohorts of women with a history of preeclampsia during pregnancy indicate that they are at increased risk for cardiovascular and cerebrovascular disease in later life. Elevated homocysteine concentrations may be a common link that accounts for these associations.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.002

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 head0.073
GPT teacher head0.417
Teacher spread0.343 · 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 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

Citations41
Published2005
Admission routes1
Has abstractyes

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