Understanding the Mechanisms of Infant Respiratory Distress and Chronic Lung Disease
Bibliographic record
Abstract
Respiratory distress syndrome in newborn infants (IRDS) is the most frequent respiratory cause of death and morbidity in children � 1 yr of age (1). Therapy for IRDS has been increasingly effective in reducing mortality at the expense of an increasing number of preterm survivors with chronic lung disease. This is particularly evident in extremely low birth weight (0.5‐1.0 kg) infants, born between 24 and 28 wk (2). The lungs of these infants are structurally immature, often surfactant-deficient, fluid filled, and not supported by a stiff chest wall (3), which enhances their susceptibility to lung injury. Recent pathology of chronic lung disease (CLD) differs from that described previously by Northway and colleagues (4) in that the lungs are more uniformly inflated and have minimal airway injury, but demonstrate alveolar hypoplasia (5). CLD is a heterogeneous condition, with a variety of spectra; however, a cardinal event, which appears to be common to all types of CLD, is an inflammatory response. Inflammation can interfere with normal anatomic development of the airways and alveoli, and can lead to lung tissue damage. This tissue damage is exacerbated by the fact that the healing process is generally abnormal in the premature infant due to immaturity. Consequently, excessive inflammation and abnormal healing can result in dysplasia and metaplasia of the respiratory system. Genetic Risk of Developing IRDS
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".