The electronic belt-fit test device (eBTD): A method for certifying safe seat belt fit
Bibliographic record
Abstract
The belt-fit test device (BTD) measures and assesses static seat belt geometry of automobile seat belts. It was conceived and developed by Transport Canada throughout the 1970s, 1980s and 1990s to address abdominal and upper body injuries that resulted from a mismatch between seat belt geometry and occupants' anthropometric characteristics. When positioned on an automobile seat, the BTD indicates whether the lap and shoulder belts fall within specified bounds that have been established to minimize the risk of serious injuries to soft tissue and organs from belt intrusion. Recently, work has focused on the development of an electronic version of the BTD using computer-human modeling techniques and computer-aided design (CAD). tecmath AG, creators of the RAMSIS 3D human modeling system, are currently developing an electronic BTD (or eBTD). In addition to providing a convenient tool with which to certify seat belt fit of current vehicle models, the eBTD will help designers assess seat belt geometry before a vehicle reaches production.
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".