Measuring advanced motor skills in children with cerebral palsy: development of normative data and percentile curves for the Challenge-20 assessment
Bibliographic record
Abstract
The Challenge-20 is an assessment of advanced motor skills of children with cerebral palsy. The purpose of this study was to develop age-related norms and percentile curves for the Challenge-20 with typically developing children ( n = 150, 7 through 11 years), and compare Challenge-20 scores of independently ambulatory children with CP, Gross Motor Function Classification System level I ( n = 135) and II ( n = 56) to these age norms. Younger TD children (7 years) scored lowest, and older children (11 years) scored highest on the Challenge-20 , showing similar developmental trajectories. Challenge-20 scores of 15% of children in GMFCS level I were situated above the lower 2.5th percentile curve of the typically developing children's Challenge-20 growth curve, that is, overlapping into the typically developing child zone. The Challenge-20 is sensitive to the progression of advanced gross motor skills in typically developing children. Children with cerebral palsy, GMFCS I follow similar, albeit lower, Challenge score trajectory to that of typically developing children, and in some cases come close to lower level abilities of typically developing children. The reference values with typically developing children extend the Challenge-20 's utility when assessing advanced gross motor skill of independently ambulatory children with cerebral palsy for physiotherapy intervention and physical activity planning and open the door to re-thinking more about advanced gross motor interventions for children with cerebral palsy in GMFCS levels I and II given their potential to progress along the developmental trajectory.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".