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Record W2546952490 · doi:10.1109/ccece.2016.7726747

The AURORA connected vehicle technology testbed

2016· article· en· W2546952490 on OpenAlexaffabout
David G. Michelson, Victor C. M. Leung, G Chow

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicService-Oriented Architecture and Web Services
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsTestbedSoftware deploymentGateway (web page)Variety (cybernetics)Government (linguistics)Resource (disambiguation)Default gatewayBusinessTelecommunicationsEngineeringComputer scienceComputer securityWorld Wide WebOperating system

Abstract

fetched live from OpenAlex

The AURORA Connected Vehicle Technology Testbed is currently being developed at the University of British Columbia with support from Transport Canada and the Asia-Pacific Gateway and Corridor Initiative and various other government and private sector organizations and in association with the ACTIVE Connected Vehicle Testbed at the University of Alberta. AURORA's mission is to provide Canadian researchers, developers, manufacturers and policymakers engaged in the application, deployment and advancement of connected vehicle technology with access to the testbed infrastructure required to conduct training, demonstrations, pilot projects and research. AURORA will be a national resource that accommodates a broad range of deployment scenarios across a variety of physical environments while fostering a cooperative interdisciplinary environment. AURORA has adopted a formal governance structure that includes a management committee, configuration control board and research collaboration advisory board in order to ensure the maximum return on this substantial infrastructure investment.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.592
Threshold uncertainty score0.417

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.004
GPT teacher head0.196
Teacher spread0.192 · 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 designTheoretical or conceptual
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

Citations6
Published2016
Admission routes2
Has abstractyes

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