Health status of school-aged children with cerebral palsy: information from a population-based sample
Bibliographic record
Abstract
In this study parents' systematic accounts of the health status of 408 school-aged children with cerebral palsy (CP) are reported (221 males, 187 females; mean age 8 years 5 months, SD 1 year 11 months; range 5 to 13 years), as are relations between severity of functional motor impairment and eight functional health status domains. Data were collected as part of a longitudinal study of the motor development of a population-based, stratified, random sample of children with CP from across Ontario, Canada. The Gross Motor Function Classification System (GMFCS) was used to classify severity of CP and functional health status was described with the eight-level Health Utilities Index-Mark 3. Rates of functional limitations in Mobility, Dexterity, Speech, and Vision were statistically significantly associated with GMFCS levels (all p<0.01), with correlation values (tau-b) of 0.82, 0.58, 0.46, and 0.36, respectively. Functional limitations in hearing (tau-b=0.16; p=0.04) and cognition (tau-b=0.27; p<0.01) were both statistically significantly associated with GMFCS levels, though correlations were low. Neither emotion (tau-b=0.03; p=0.24) nor pain (tau-b=0.07; p=0.37) was associated with degree of functional limitation as described by the GMFCS. Clinical and epidemiological implications of findings are discussed.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".