Bibliographic record
Abstract
Introduction: A Gait initiation requires the movement from a stable double leg stance to the dynamic state ofwalking.Methode: The motion of participants was tracked (eight-camera motion analysis system,200Hz (Qualisys Sweden)) using reflective markers attached to the lower limbs.An initial static trial was used to establish the relationship among the markers and their respective segment markers.This allowed the tracking of dynamic movements using the markers.Findings: The least amounts of lateral deviation were found on artificial turf.The longest steps were found on granolith floor covering and the shortest ones were found on artificial turf.The widest steps were found on hard floor and the least amounts of width were found on PVC floor covering.The longest step times were found on artificial turf and the shortest step times were found on PVC floor covering.The longest swing phase times were found on artificial turf and the shortest swing phase times were found on PVC floor covering.The fastest steps were found on granolith floor covering and the slowest ones were found PVC floor covering.Conclusion: Kinematic characteristics of gait initiation on different floor covering are not the same, and facing new floor covering operate as a serious perturbation.It is suggested to plan for training and rehabilitation activity on the same surface as the real game court.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.001 |
| Insufficient payload (model declined to judge) | 0.974 | 0.968 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".