Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Visualization based on virtual reality (VR) has gained increasingly wider recognition among transportation engineers and researchers because of advances in computer and VR technologies. The benefits of applying VR in transportation are well documented. However, many technical and financial issues hinder wide acceptance of this new technology in highway engineering design. Therefore, the concept of a custom-built, lightweight visualization system aimed at enhancing highway geometric design processes is developed. Capable of supporting the construction of a three-dimensional (3-D) road surface with accurate geometry and providing vehicle-based navigation with controlled driver perspectives, the visualization system is created by applying open-source VR modeling technology with proven key techniques. A systematic approach was taken to integrate data, create 3-D modules, and implement the visualization system as numerous case studies by using real-world data. The successful implementation proves the design concept, shows great potential for supporting the engineering design process, and opens new opportunities for further development.
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.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it