International Classification of Functioning, Disability and Health Core Sets for children and youth with cerebral palsy: a consensus meeting
Bibliographic record
Abstract
AIM: The objective of this article is to report on the Core Sets developed for children and youth aged 0 to 18 years, with cerebral palsy (CP) based on the pediatric International Classification of Functioning, Disability and Health (ICF) by the World Health Organization (WHO). METHOD: A formal decision-making and consensus process integrating evidence gathered from preparatory studies was followed. Preparatory studies included: a systematic literature review; an international expert survey; a qualitative study of children and youth with CP and their caregivers; and a clinical study. Relevant ICF categories were identified in a formal consensus process by international experts from different backgrounds. Twenty-six international experts chosen by WHO region with expertise in CP attended the consensus meeting. RESULTS: Overall, five ICF Core Sets were developed: a Comprehensive Core Set (135 ICF categories); a Common Brief (25 ICF categories); and three age-specific Core Sets: under 6 years (31 ICF categories), from 6 to <14 years (35 ICF categories) and from 14 to 18 years (37 ICF categories). INTERPRETATION: These ICF Core Sets for children and youth with CP are the first ICF-based tools developed for this population. The ICF Core Sets for children and youth with CP can be applied in clinical practice, research, teaching and administration. The application of the ICF Core Sets to this population will standardize the functional assessments of CP worldwide.
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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 | 0.131 | 0.143 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.008 |
| Bibliometrics | 0.020 | 0.011 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.011 | 0.010 |
| Research integrity | 0.005 | 0.010 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".