Visual Evoked Potentials for Prediction of Neurodevelopmental Outcome in Preterm Infants
Bibliographic record
Abstract
Visual evoked potentials (VEPs) have proved to be accurate predictors of outcome in term infants with hypoxic-ischemic encephalopathy. Parallels between term asphyxia and hypoxic-ischemic injury in the preterm brain suggested the hypothesis that VEPs may predict the development of periventricular leukomalacia (PVL) and later cerebral palsy. 123 infants less than 32 weeks' gestational age were enrolled in the study. VEPs were done in the first 3 weeks of life (usually first week). VEPs did show a statistically significant association with PVL (p < 0.04) although false-positive recordings were twice as frequent as true-positive recordings. VEPs were not associated with grade III-IV intraventricular hemorrhage (p = 1.0). Unlike asphyxiated term infants, VEPs were not predictive of abnormal neurodevelopmental outcome in the preterm population.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".