Bibliographic record
Abstract
In humans, growth and development continues until early adulthood when bone, muscle, and nervous tissue reaches final stages of maturity. Adequate levels of nutritional intake and utilization are critical to optimize ongoing growth. The goal of nutritional therapy for premature or ill neonates has been to provide sufficient nutrients to allow growth to continue at rates seen in utero. Functional immaturity of the gut in the premature infant makes absorption and utilization of nutritional substrates difficult. Premature infants are at risk for developing necrotizing enterocolitis, a potentially lethal bowel disorder. The etiology of necrotizing enterocolitis is not well understood, and a number of theories of causation have been proposed. Breast milk, the optimal source of nutrition for the neonate, is believed to confer some protection against necrotizing enterocolitis. A number of breast milk components have been credited with antiinflammatory properties. Breast milk is recognized for its benefits, yet for preterm infants breast milk alone does not promote adequate growth. A number of breast milk supplements have been investigated to facilitate growth and development and to prevent necrotizing enterocolitis. This article addresses development of the fetal gastrointestinal system, focusing on the biological mediators for normal function and the role of human breast milk and its additives in optimizing neonatal growth. The possible etiologies of necrotizing enterocolitis are discussed in terms of the relationship between this disease and enteral feeding practices.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".