Predicting social and functional outcomes for individuals sustaining paediatric traumatic brain injury
Bibliographic record
Abstract
OBJECTIVE: To determine the efficacy of models employing the classification of severity of injury, based on either GCS scores or clinical findings using standardized test scores for Occupational Therapy, Physiotherapy and Psychology in predicting outcomes associated with paediatric traumatic brain injury (TBI). METHOD: Medical records were reviewed to obtain GCS scores and standardized tests used in the clinically based classification of severity of injury for 30 individuals who sustained a paediatric TBI and were patients of a brain injury treatment programme. Interviews were conducted with parents to obtain current data on social participation, cognitive functioning and environmental factors. RESULTS: Three variables emerged as significant predictors of outcome: age at injury, clinical ratings of injury severity and environmental factors. CONCLUSION: Findings offer preliminary support for the idea that a combination of factors, including age at injury, clinical expertise and the environment, provide the best estimate of long-term outcome.
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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 | 0.001 | 0.003 |
| 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".