Bibliographic record
Abstract
A 2,216-g baby boy is born at 37 weeks’ gestation to a 34-year-old gravida 2, para 1 female. The pregnancy was uncomplicated until the day prior to delivery, when a biophysical profile score of 4/8 was obtained on assessment. Fetal heart rate decelerations to 80 beats/min and multiple late decelerations were noted the evening of delivery, and an emergent cesarean section is planned. The male infant is delivered precipitously prior to entering the operating room. Placental abruption is evident after delivery. At birth, the baby is limp but has spontaneous respirations, with a respiratory rate of 60 breaths/min. Mild intercostal retractions are evident. Femoral pulses are weak, but the heart rate is detected at 130 beats/min. On auscultation, heart sounds are not audible. Apgar scores are 7, 7, and 8 at 1, 5, and 10 minutes, respectively. Shortly after initial assessment, continuous positive airway pressure (CPAP) is applied at 4 to 5 cm H2O, and the baby is transported to the neonatal intensive care unit where the blood pressure is 44/16 mm Hg (mean, 27 mm Hg) and the oxygen saturation is 98% (with CPAP). Color and tone are poor, and the baby subsequently receives bag-and-mask ventilation and a bolus of 10 mL/kg normal saline via a peripheral intravenous …
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 | 0.000 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".