Bibliographic record
Abstract
The hospital incidence of uterine rupture varies from 1/100–500 deliveries in developing countries to 1/1000–5000 deliveries in countries with well-developed hospital services. The type of rupture may be complete, involving the full thickness of the uterine wall, with or without extrusion of fetal parts, or incomplete, when the uterine muscle has separated but the visceral peritoneum remains intact. Excluding separation of previous uterine scars, the most common site of complete rupture is the anterior lower uterine segment. Uterine rupture may extend laterally with bleeding into the broad ligament and retroperitoneal space. Less common is rupture of both the distended lower segment and the vaginal fornix. In 5–10% of cases, the rupture involves the bladder wall. In regions with poorly developed obstetric services, the maternal mortality rate can reach 10–20% and the perinatal death rate 40–90%. Although maternal death owing to uterine rupture is uncommon in developed countries, the morbidity for the mother can be high, and can include the need for hysterectomy. In addition, perinatal morbidity as a result of hypoxic–ischaemic encephalopathy is a risk with well-developed services, where the relatively rapid performance of caesarean section may diminish the risk of stillbirth only to salvage a severely hypoxic infant.
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 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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.031 | 0.013 |
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".