Proceedings of the 14 <sup>th</sup> International Newborn Brain Conference: Neuro-imaging studies
Bibliographic record
Abstract
BACKGROUND: Cardiorespiratory deterioration is common in very low birth weight (<1500g) infants.This period of critical brain growth and development may be impacted by insults such as sepsis and hypoxia.The physiological response to illness manifests through autonomic signaling and is detected as changes in heart rate (HR) and oxygenation (SpO 2 ).We hypothesized that limited autonomic activity and reactivity may indicate poor cardiovascular autoregulation, increasing the risk of cerebral hypoxic-ischemia, the fundamental basis for preterm brain injury.The cumulative hypoxic insult may be correlated with decreased brain growth at term equivalent age (TEA). METHODS:Infants born <32 weeks were recruited for a pilot study of longitudinal vital sign collection and termequivalent imaging.All included infants (n=12) had continuous HR/SpO 2 data from the entire NICU stay and a non-sedated, non-contrast MRI performed at termequivalent age.Autonomic signaling was quantifi ed in 10min windows across the entire NICU stay using a validated multi-feature logistic regression model called pulse oximetry warning score (POWS) where low mean POWS represents decreased autonomic activity and low standard deviation of POWS represents decreased reactivity or responsiveness.Using T2-weighted images, total cortical surface area (CSA), gray matter, white matter, and total brain volume were calculated using a semi-automated pipeline.We used Spearman correlation to evaluate the relationship between the mean and SD of POWS with brain volumetrics. RESULTS:Two example infants are shown in Figure 1; infant A has a low mean POWS with limited variance (low
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".