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Record W4391168713 · doi:10.56367/oag-041-11190

The link between placental growth factor and pregnancy complications

2024· article· en· W4391168713 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueOpen Access Government · 2024
Typearticle
Languageen
FieldMedicine
TopicPregnancy and preeclampsia studies
Canadian institutionsSaskatchewan Health AuthorityUniversity of Saskatchewan
Fundersnot available
KeywordsLink (geometry)Placental growth factorObstetricsPregnancyFactor (programming language)MedicineAndrologyBiologyPreeclampsiaComputer scienceGeneticsComputer network

Abstract

fetched live from OpenAlex

The link between placental growth factor and pregnancy complications Ernesto Figueiro-Filho and Karolina Grzyb from the University of Saskatchewan discuss the role of placental growth factor (PlGF) in screening for preeclampsia and adverse obstetric outcomes in diabetic populations.Preeclampsia is one of the most common complications during pregnancy, affecting 2-8% of pregnancies after 20 weeks. (1) It is often asymptomatic and defined by gestational hypertension, proteinuria, and one or more adverse conditions (maternal end-organ complication or evidence of uteroplacental dysfunction). (1) Early detection of preeclampsia during routine prenatal testing is important due to the asymptomatic nature of the condition. (2, 3) The management goal of a pregnant person with preeclampsia is ultimately to monitor the maternal-fetal complications and to reach the minimum safe gestational age for delivery. (4, 5)

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.899
Threshold uncertainty score0.716

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 communication0.0010.000
Open science0.0000.001
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 head0.076
GPT teacher head0.379
Teacher spread0.304 · 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