OBSTETRICS Antepartum Risk Score Predicts Adverse Birth Outcomes
Bibliographic record
Abstract
Objective: Standardized risk assessment plays an important role in providing medical care of uniform quality to pregnant women, even though it is not a substitute for clinical judgement. This study was designed to determine whether the antepartum risk score currently used across Alberta is associated with neonatal morbidity and adverse pregnancy outcomes for singleton live births and to examine whether the current classification of “lower risk” pregnancies (score < 3) is justified. Methods: A retrospective study was conducted of the delivery records for a cohort of all live singleton births in Alberta from 2001 to 2005 that contained a completed antenatal risk assessment. Adverse neonatal condition or pregnancy outcome was assessed by Apgar score, transfer of the infant to a neonatal intensive care unit, “serious ” resuscitation measures, preterm birth, and low birth weight. The population-attributable fraction of any of the adverse outcomes was calculated. Results: All outcome measures except for NICU admissions were
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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 | 0.005 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".