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Record W564973186

Message Standardization on Variable Message Signs

2007· article· en· W564973186 on OpenAlexaboutno aff
S Trepanier

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicSafety Warnings and Signage
Canadian institutionsnot available
Fundersnot available
KeywordsStandardizationTerminologyPictogramComputer sciencePrioritizationConsistency (knowledge bases)Christian ministryTransport engineeringOperations researchEngineeringGeographyProcess managementPolitical scienceArtificial intelligenceOperating system
DOInot available

Abstract

fetched live from OpenAlex

Variable Message Signs (VMS) are becoming more and more common on Quebec roads. It was decided that current practices needed to be studied, evaluated and improved in order to ensure the consistency of messages transmitted to users. A research project to that effect was carried out by a team at the Universite de Montreal,under the supervision of the ministere des Transports du Quebec (MTQ). The project was completed in the summer of 2005. With the submission of the final report, a working group of Ministry experts in the use of VMS was given the task of making recommendations for provincial standards based on the findings presented. The following points were addressed: type of VMS to be used-display characteristics and dimensions; regulations for placement and installation; regulations and guidelines for message prioritization; message content-i.e. terminology for different circumstances (traffic congestion, construction, weather conditions, etc.); various examples of uses of the main terms on different sizes of VMS; a series of pictograms designed especially for VMS. For the covering abstarct of this conference see ITRD number E216511.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.907
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0310.001

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 head0.018
GPT teacher head0.311
Teacher spread0.293 · 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; both teacher heads agree on what is shown here.

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
Published2007
Admission routes1
Has abstractyes

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