Classification of manual abilities in children with cerebral palsy under 5 years of age: how reliable is the Manual Ability Classification System?
Bibliographic record
Abstract
OBJECTIVE: To assess the interobserver reliability of the Manual Ability Classification System (MACS) in young children (age 1-5 years) with cerebral palsy. DESIGN: Interobserver reliability study. SETTING: A cross-sectional study of a hospital-based population of children with cerebral palsy. SUBJECTS: Thirty children, 18 boys and 12 girls between 1 and 5 years of age (mean age 2.5 years +/- 14.2 SD, Gross Motor Function Classification System level I-IV). MEASURES: the children were classified by means of the MACS by two independent observers. Interobserver reliability was analysed using Cohen's kappa. RESULTS: Overall interobserver reliability of the MACS for children aged 1-5 years was moderate, with a linear weighted kappa (kappa) of 0.62 (95% confidence interval (CI) 0.49-0.76). According to the generally accepted categories of agreement, reliability was moderate for children under 2 years of age (kappa = 0.55), and good for children between 2 and 5 years of age (kappa = 0.67). CONCLUSION: Classification of manual ability of young children with cerebral palsy is possible between 2 and 5 years of age. For children younger than 2 years old, it should be done with caution. Further development of the MACS for children under 5 years of age is recommended with an emphasis on age-appropriate descriptions of manual abilities.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".