Electronic Belt Fit Test Device-a Software Tool to Optimize and Evaluate Seat Belt Design
Bibliographic record
Abstract
In attempt to reduce the risk of accident injuries caused by inappropriate belt fitting, the Canadian Government (Transport Canada) developed a physical Belt Fit Test Device (BTD) and in 1995 proposed new vehicle safety regulations involving BTD test procedures. To overcome deviations of physical hardware tests and to enable review of belt design in early design phases, an electronic version of the BTD (eBTD) was proposed by the affected manufacturers. As a long-time supplier of ergonomic CAD software and digital human modelling technology, Human Solutions was assigned as the software development partner. The software simulation which incorporates anchor point kinematics and measures the belt position over clavicle, sternum and lap scales was accepted by Transport Canada as an official certification tool. In July 2006 a Memorandum of Understanding was signed with the affected manufacturers in which they commit to certify all vehicles sold in Canada using BTD/eBTD procedures. With the availability of the eBTD in the 3D human modelling software RAMSIS, vehicle designers are provided with an integral digital design environment in which ergonomics, safety and certification are combined seamlessly.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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 teacher head, 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".