Development of an assessment protocol to operationalize the core set of the International Classification of Functioning for people with cerebral palsy
Bibliographic record
Abstract
The core sets (CS) of the International Classification of Functioning, Disability and Health (ICF) for cerebral palsy (CP) have been applied in different contexts but have not been operationalized in the CP population in Argentina. To select instruments for implementation, a four-stage cross-sectional study was conducted: training in ICF, consensus on instruments, evaluation of intra- and interobserver agreement, and pilot testing. Sixtynine professionals participated in the training, and 13 in the consensus. In the first round, agreement was reached in 15 of 24 categories (92.8%), and new options were proposed for the remaining ones. The second round achieved 95.6% agreement. Intra-observer agreement was 0.84, and inter-observer agreement was 0.86. The pilot test (n = 7) allowed five categories to be adjusted. The first national protocol for assessing ICF CS in children with CP is thus proposed.
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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 | 0.087 | 0.054 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.014 | 0.005 |
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".