The link between placental growth factor and pregnancy complications
Bibliographic record
Abstract
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)
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".