The effects of sex, leg region and impact technique on leg soft tissue motion and energy dissipation following heel impacts
Bibliographic record
Abstract
Controlled heel impacts were imparted to 20 participants (9 M and 11 F) in the horizontal plane using a human pendulum. Displacement and velocity of leg soft tissue were determined from automatic detection (ProAnalyst ® ) of manually digitized skin markers. Overall, the soft tissue moved with a mean peak displacement of 2.14 cm and velocity of 105.5 cm/s. Regions with greater amounts of soft tissue (proximal, and back of the leg) experienced greater displacement and velocity than distal regions and regions on the front of the leg, respectively. Displacement and velocity were greater in distal regions for males and in proximal regions for females, while the magnitude of tissue masses (fat mass, lean mass, bone mineral content and wobbling mass) had significantly different effects on tissue kinematics between the sexes. These results provide important information which will help us better understand how shock propagates through the body. Keywords: lower extremity, displacement, velocity, tissue composition, sex differences
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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 | 0.000 | 0.001 |
| 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) | 0.004 | 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".