Maternal anthropometric factors and the risk of cesarean delivery
Bibliographic record
Abstract
The cesarean delivery rate in Canada has never been higher than it is now. To identify the contribution of pre-pregnancy adiposity and maternal weight gain to the risk of cesarean delivery, and evaluate to what extent these factors may account for temporal trends in primary cesarean delivery, we conducted an historical hospital-based cohort study of 63 390 deliveries at Montreal's Royal Victoria Hospital from 1978 to 2001. Pregravid adiposity and high net rate of gestational weight gain were associated with primary intrapartum cesarean delivery, and overweight and obese women with a previous cesarean were at higher risk for failing a trial of labour. Overall, women who were obese or overweight were more likely to fail a trial of labour, regardless of whether they had previously delivered by cesarean, but temporal trends in primary cesarean delivery could not be attributed to changes in maternal anthropometric factors.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".