Bibliographic record
Abstract
Respiratory failure affects up to 1 in 500 pregnancies, more commonly in the postpartum period. The causes of respiratory failure include several pregnancy-specific conditions such as preeclampsia, amniotic fluid embolism, and peripartum cardiomyopathy. Pregnancy may also increase the risk or severity of other conditions, such as asthma, thromboembolism, viral pneumonitis, and gastric acid aspiration. Changes to maternal respiratory physiology and the presence of a fetus may affect the assessment and management of these patients. In addition to identifying pregnancy-specific causes, some differences exist in the management of the pregnant woman with acute respiratory failure. Endotracheal intubation in pregnancy carries a significant risk, due to upper airway edema and rapid oxygen desaturation following apnea. Few studies have addressed prolonged mechanical ventilation management in pregnancy. Optimizing oxygenation is important, but whether permissive hypercapnia is tolerated during pregnancy remains unclear. Delivery of the fetus is often considered but does not always improve maternal respiratory function and should be reserved only for cases where benefit to the fetus is anticipated.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".