Study on Influence of Back Angle on Human Body Pressure Distribution
Why this work is in the frame
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Bibliographic record
Abstract
Through the study of the seat size parameter change on the body pressure distribution effect, the powerful references to comfort design of office chair were explored. By using Canadian XSENSOR X3 PRO V6 test system, human body pressure distribution and subjective comfort evaluation in different back angle of 6 objects were tested. The data were processed by statistical analysis software SPSS 16. Then the change of maximum pressure, average pressure, contact area of seat surface and backrest, as well as the vertical pressure distribution curve with the back angle were obtained. Finally the comfort indicators of daily office chair were determined based on body pressure distribution, and the most comfortable back angle of office chair were also solved. Thereby it can provide reference for those who want to design comfortable daily office chair.
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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 | 0.000 |
| 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) | 0.002 | 0.002 |
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 it