Opioids in the parturient with chronic nonmalignant pain: A retrospective review
Bibliographic record
Abstract
The purpose of this research was to determine the neonatal outcomes of women who had been taking medically prescribed opioids throughout their pregnancy. A retrospective case study was done of 15 pregnancies associated with maternal opiate use between January 1, 1999, and September 30, 2002. Two cases were excluded due to coaddiction. Neonatal data were collected including gestational age, head circumference, length, birth weight, Apgar score at one and five minutes, details of resuscitation required, and Neonatal Abstinence Score. There were 13 pregnancies, which resulted in 13 live births; opioids prescribed included oxycodone, codeine, meperidine, fentanyl, dilaudid, morphine, and methadone. There were four babies with one-minute Apgar score = -5, and two babies with five-minute Apgar score = 5. It was concluded that neonatal growth markers in this population were within normal limits as plotted on the standard growth and development record of Gairdner-Pearson. Five out of 13 (38.5 percent) neonates were diagnosed with opioid discontinuation syndrome.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".