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Record W765793435

Development of a Safety Improvement Strategy at a Truck Rollover Prone Location

2008· article· en· W765793435 on OpenAlexaboutno aff
Julie Donnelly

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicTransportation Safety and Impact Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsRollover (web design)TruckTransport engineeringSignageCanyonWarning systemChristian ministryEngineeringBusinessComputer scienceGeographyAutomotive engineeringCartographyTelecommunications
DOInot available

Abstract

fetched live from OpenAlex

The rural section of Highway 1 (Trans Canada Highway) known as 'Marshall Mountain' located in British Columbia's Fraser River Canyon has been identified as a truck rollover prone location. Previous studies have recommended improvements to warning signage and delineation. While the frequency of rollover incidents has been reduced in recent years, the occurrence of occasional rollover incidents persist and the location continues to be perceived as being problematic. In 2006, the Ministry of Transportation engaged Urban Systems Ltd. to conduct a review of previous studies, complete an investigation of historic rollover events and site characteristics, and develop a recommended improvement strategy. A significant component of the recommended strategy was the use of an Automatic Truck Rollover Warning System (ATRWS). This type of Intelligent Transportation System (ITS) is specifically designed to complete a real-time assessment of rollover risk and to provide relevant information to approaching truck operators.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.647
Threshold uncertainty score0.601

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)0.0010.000

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 head0.015
GPT teacher head0.210
Teacher spread0.195 · 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 designObservational
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
Published2008
Admission routes1
Has abstractyes

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