MétaCan
Menu
Back to cohort
Record W1968474825 · doi:10.1061/9780784412862.018

A Modern Mobility Solution for Urban Transit with the Latest Generation of the INNOVIA System

2013· article· en· W1968474825 on OpenAlexaff
Yihong Xie

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicTransportation and Mobility Innovations
Canadian institutionsBombardier (Canada)
Fundersnot available
KeywordsTurnkeyTransport engineeringMonorailTransit systemService (business)Transport systemPublic transportStock (firearms)BusinessComputer scienceTransit (satellite)TelecommunicationsEngineeringMarketingCivil engineering

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.489
Threshold uncertainty score0.135

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.016
GPT teacher head0.184
Teacher spread0.167 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2013
Admission routes1
Has abstractyes

Explore more

Same topicTransportation and Mobility InnovationsFrench-language works237,207