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Effect of High Dose Folic Acid Supplementation in Pregnancy on Pre-eclampsia (FACT): Double Blind, Phase III, Randomised Controlled, International, Multicentre Trial

2019· article· en· W2912997476 on OpenAlexaff
Shi Wu Wen, Ruth Rennicks White, Natalie Rybak, Laura Gaudet, Stephen C. Robson, William M. Hague, Donnette Simms‐Stewart, Guillermo Carroli, Graeme N. Smith, William D. Fraser, George A. Wells, Sandra T. Davidge, John‏ Kingdom, Doug Coyle, Dean Fergusson, Daniel J. Corsi, Josée Champagne, Elham Sabri, Tim Ramsay, Ben W. Mol, Martijn A. Oudijk, Mark Walker

Bibliographic record

VenueObstetrical & Gynecological Survey · 2019
Typearticle
Languageen
FieldMedicine
TopicPregnancy and preeclampsia studies
Canadian institutionsOttawa HospitalKingston General HospitalUniversité de SherbrookeMount Sinai Hospital
Fundersnot available
KeywordsMedicinePreeclampsiaEclampsiaPregnancyObstetricsFolic acidFolic acid supplementationMaternal deathPopulationInternal medicineEnvironmental health

Abstract

fetched live from OpenAlex

(Abstracted from BMJ 2018;362:k3478) Preeclampsia is a serious medical condition, affecting approximately 3% to 5% of pregnancies, accounting for more than 35,000 maternal deaths annually worldwide and an important factor in maternal morbidity. Preeclampsia affects multiple organ systems and leads to an increased risk of other severe maternal and neonatal complications in pregnancy.

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)0.001
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.046
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.039
GPT teacher head0.356
Teacher spread0.316 · 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

Citations15
Published2019
Admission routes1
Has abstractyes

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