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Record W644491456

Making a Big Deal of Tolling Technology

2013· article· en· W644491456 on OpenAlexaboutno aff
Guy Woodford

Bibliographic record

VenueWorld Highways/Routes du Monde · 2013
Typearticle
Languageen
FieldEngineering
TopicTraffic Prediction and Management Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsTransponder (aeronautics)TollTelecommunicationsThird generationBusinessQuarter (Canadian coin)Time division multiple accessEngineeringTransport engineeringGeographyMeteorologyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

The world’s leading tolling solution providers have achieved significant deals in recent months. New contracts will see delivery of the next generation of the TDMA V6 Interior Transponder for 407 ETR in the Greater Toronto area in the third quarter of 2014. The 407 ETR is the world’s first all-electronic, barrier-free toll road located in the Canadian province of Ontario. Since its opening in 1997, 407 ETR continues to fulfill its mission of relieving congestion on Greater Toronto Area highways. This next generation of transponder technology will benefit the 407 ETR’s growing community that is already exceeding seven million customers.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.037
Threshold uncertainty score0.124

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0040.006
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0370.024

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 head0.014
GPT teacher head0.208
Teacher spread0.194 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations0
Published2013
Admission routes1
Has abstractyes

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