The Wall Slide Test, a measure of knee extensor strength
Bibliographic record
Abstract
'Purpose'. To develop and evaluate a clinical test for assessment of knee extensor strength using a mathematical algorithm (Wall Slide Algorithm - WSA) to compute the knee extensor resultant joint moment (RJMk). 'Methods'. Normal subjects (n = 25) executed a knee flexion and extension maneuver with the trunk constrained against the wall and with feet a standardized distance from the wall (The Wall Slide Test - WST). The WST was repeated on two separate occasions (3-7 days between tests) for assessment of reliability. The absolute thigh angle for the lowest point during the WST was measured using a digital inclinometer. Digital images were taken of a sub-sample of subjects (n = 11/25) for comparison of the WSA with a full static analysis. For evaluation of concurrent validity, the subjects performed a maximal, concentric strength test on an isovelocity dynamometer at 50/s on their dominant leg on the second test day. The angle value measured during the WST was entered into the algorithm, ' 8.31Massbltcos [theta]', which calculated the RJMk. (Abstract shortened by UMI.)
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".