Controversies in Obstetric Anesthesia and Analgesia
Bibliographic record
Abstract
The provision of anesthesia during childbirth still generates considerable debate; opinions vary widely within the obstetric anesthesia community over issues such as the effect of anesthetic drugs on the fetal brain and the choice between different epidural techniques. Controversies in Obstetric Anesthesia and Analgesia debates these and other clinical management controversies encountered in daily practice, providing practical advice on how to manage each clinical problem. This concise, practical text is designed to provide rapid access to key information on both diagnosis and treatment, presenting each side of the debate in a clear discussion. Key references and suggestions for further reading are also provided. Written by a team of international practitioners working with and caring for high risk obstetric patients, Controversies in Obstetric Anesthesia and Analgesia is an invaluable resource for trainees and practitioners in anesthesia, obstetrics and critical care medicine.
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.010 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.013 |
| Insufficient payload (model declined to judge) | 0.017 | 0.007 |
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".