Obstetric and perinatal outcomes in women with endometriosis
Bibliographic record
Abstract
Key content Endometriosis in pregnancy is associated with an increased risk of spontaneous miscarriage, pre‐eclampsia, postpartum haemorrhage, caesarean section, placenta praevia, fetal growth restriction, prematurity and adverse neonatal outcomes. Women with mild disease are considered as having ‘low‐risk endometriosis’ (LRE) and can expect a normal pregnancy and labour. The ‘high‐risk endometriosis’ (HRE) group may require additional antenatal and intrapartum specialist care. Learning objectives To understand the pathophysiologic basis of adverse obstetric and perinatal outcomes in pregnant women with endometriosis. To understand the obstetric outcomes in relation to the severity and staging of endometriosis. To appreciate the risk of spontaneous haemoperitoneum in pregnancy (SHiP) associated with endometriosis in pregnancy.
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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 | 0.007 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".