A Modern Mobility Solution for Urban Transit with the Latest Generation of the INNOVIA System
Bibliographic record
Abstract
High quality transportation systems developed by Bombardier Transportation have literally shaped the physical, social and economic landscapes of many cities. From large-scale urban transit networks to fully automated systems at major airports, Bombardier has delivered over 60 transportation systems around the world with an impressive annual ridership of 1.7 billion passenger journeys. Our turnkey solutions integrate Bombardier's full range of expertise, including rolling stock, signaling, operations and maintenance, project management and system integration, underpinned by 40 years of experience in providing and supporting transportation systems. With 62 production and engineering sites in 25 countries, more than 40 service centers at customer premises across the world, and over 100,000 vehicles in operation, Bombardier Transportation is the global leader in the rail industry. Bombardier is also the global leader in providing the highest number of fully automatic, driverless, unattended rail transportation systems in the rail industry. Bombardier provides three types of fully automatic, unattended systems: Advanced Rapid Transit system, Monorail system and Automatic People Mover system.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.007 |
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".