Hypoglycemia in an unmonitored full-term newborn
Bibliographic record
Abstract
A full-term male infant was admitted to the neonatal intensive care unit 30 h after birth for hypoglycemia. A review of the history revealed that the mother was a primagravid 30-year-old woman with obesity (body mass index 35 kg/m2) who had a normal glucose tolerance test at 28 weeks’ gestation. The baby was born by spontaneous vaginal delivery after induction of labour at 41 weeks’ gestation. Apgar scores were 8 at 1 min and 9 at 5 min. Cord blood gases were normal. Birth weight was 2900 g. The mother and newborn were transferred to the postnatal ward. Newborn examination was normal. During the first 24 h, the baby had several breastfeeding attempts with good latch and sustained sucking. The baby had two wet diapers, one small meconium stool and weight was 2800 g at 24 h. At 30 h of life, he had a temperature of 36.3°C and was noted to be jittery, with exaggerated startle, and subsequently experienced a cyanotic episode. A bedside glucose measurement was low. A simultaneous serum glucose measurement was 0.9 mmol/L. The baby was admitted to the neonatal intensive care unit and treated with intravenous dextrose 10% 2 mL/kg slow bolus and 6 mg/kg/min glucose maintenance. Infection was ruled out. There were three additional episodes of low glucose (1.8 mmol/L, 1.9 mmol/L and 2.0 mmol/L). A critical sample obtained during the third hypoglycemic event indicated hyperinsulinism. Hypoglycemia and hyperinsulinism resolved four days later, and he was discharged home feeding well with a normal neurological examination.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".