P.002 Neurodevelopment at 2 years in asphyxiated newborns treated with hypothermia can be predicted by early neuroimaging markers
Bibliographic record
Abstract
Background: Brain imaging in asphyxiated newborns treated with hypothermia has shown that brain injury can be identified as early as day 2 of life and continue to evolve over the first month of life. Methods: Asphyxiated newborns treated with hypothermia were enrolled prospectively. Apparent diffusion coefficient (ADC) and fractional anisotropy (FA) were measured on magnetic resonance imaging (MRI) performed over the first month of life. Neurodevelopment was evaluated around 2 years of age. Results: Twenty-six asphyxiated newborns treated with hypothermia were enrolled. In asphyxiated newborns treated with hypothermia, who developed cerebral palsy, ADC values were significantly decreased on day 1 of life, on day 2-3 and around day 10 of life in the thalamus. In the same newborns, the FA values were significantly decreased on day 10 of life. Conclusions: Early MRI measurements permitted to identify the newborns developing cerebral palsy as early as on day 1 of life and could thus be used in the future to predict the long-term neurodevelopmental outcome asphyxiated newborns treated with hypothermia.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".