Could mobilty performance measures be used to evaluate wheelchair skills?
Bibliographic record
Abstract
OBJECTIVE: To determine the relationship between mobility performance measures and Wheelchair Skill Test (WST) scores and to establish the test-retest and inter-rater reliability of these measures. METHODS: Forty patients with spinal cord injury participated in this study. Subjects performed the Wheelchair Skill Test and mobility performance tests: maximal velocity (Vmax), spontaneous velocity (Vspont) and a 10-m back and forth slalom (Stime). Eighteen patients with spinal cord injury participated in a second testing session to evaluate test-retest reliability and, among these patients, 8 participated in a third testing session to evaluate inter-rater reliability. RESULTS: Spearman's correlation coefficients calculated between WST and Vmax, Vspont and Stime were high and significant (p < 0.05). The intraclass correlation coefficients (ICC (2.1)) evaluating test-retest reliability for Vmax, Vspont and Stime were 0.94, 0.84 and 0.88, respectively. The ICC evaluating inter-rater reliability for Vmax, Vspont and Stime were 0.92, 0.92 and 0.95, respectively. Reliability results were confirmed by Bland-Altman plots. CONCLUSION: Vmax and Stime could be used to evaluate wheelchair skills and to create a new scale, whereas Vspont is the least appropriate of these measurements to describe wheelchair skills.
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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 | 0.006 | 0.037 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".