Bibliographic record
Abstract
Energy requirements of children and adolescents with cerebral palsy appear to be disease-specific and different from the current recommendations for healthy children, varying depending upon functional capacity, degree of mobility, severity of disease, and level of altered metabolism. Feeding problems are prevalent in many of these children, and can result in inadequate energy intake. Wasting of voluntary muscles, a common symptom of cerebral palsy, contributes to reduced resting energy needs; nevertheless, the location of the central nervous system lesion may also influence energy requirements. To guarantee individualized, accurate, and optimal energy recommendations for this population, resting energy expenditure should preferentially be measured by indirect calorimetry. Equations and formulae to predict healthy people's resting energy expenditure are available, but tend to overestimate these children's energy needs. Future studies should address the role of the central nervous system in regulating energy metabolism in this population. When adequately nourished, children and adolescents with cerebral palsy appear more tranquil and require decreased feeding time, which gives caregivers time to develop the child's functional independence and character. Understanding energy requirements of this population will provide caregivers and health professionals with guidelines for providing optimal nutritional status.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.003 |
| 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) | 0.002 | 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".