Sleep in the Neonatal Intensive Care Unit
Bibliographic record
Abstract
Recent experimental data suggest a strong role for sleep in brain development. As sleep is the predominant behavioral state in the term and especially the preterm newborn, these data underline the importance of respecting sleep duration and organization within the different sleep states. Polysomnography is the preferred technique used for identification of sleep state; however, behavioral observations-under the condition that the observer is well trained-may prove as efficient. Newborns hospitalized in the neonatal intensive care unit are exposed to many stimuli and care activities that disrupt their sleep organization and may have irreversible effects on their brain development. In order to improve the long-term neurobehavioral outcome of these high-risk subjects, a consistent care approach is proposed. Application of the Neonatal Individualized Developmental Care and Assessment Program decreases environmental stressful events and promotes harmonious well-being behaviors, based on an individual approach. This strategy has encouraging results, showing an increase in sleep duration under Neonatal Individualized Developmental Care and Assessment Program conditions, but further studies are needed to assess its long-term neurobehavioral impact.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".