Bibliographic record
Abstract
In this issue of Pediatrics, Bateman et al1 have elegantly convinced readers that infants of mothers prescribed β-blockers in late pregnancy, in a large American database, have a significantly elevated risk (4.3%) of neonatal hypoglycemia, with an adjusted odds ratio of 1.68. This finding is important because β-blockers are used commonly to treat hypertensive orders in pregnancy, and in Bateman et al’s study >10 000 women, 0.5% of pregnancies, delivering between 2003 and 2007 were exposed to β-blockers at the time of delivery. Their results are physiologically plausible because β-blockers cross the placenta, and the resultant sympathetic blockade could be expected to lead to hypoglycemia, which may be asymptomatic. Screening for hypoglycemia appears to be the natural … Address correspondence to Anne Synnes, MDCM, MHSc, 4500 Oak St, Room 1R13, Vancouver, British Columbia, V6H 3N1 Canada. E-mail: asynnes{at}cw.bc.ca
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 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.005 | 0.005 |
| 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".