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Record W579677283

Long Term Performance of Full Depth Reclamation with Expanded Asphalt on the Trans-Canada Highway Near Wawa, Ontario

2012· article· en· W579677283 on OpenAlexaboutno aff
B Lane, T Kazmierowski

Bibliographic record

Venue2012 CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION: INNOVATIONS AND OPPORTUNITIES · 2012
Typearticle
Languageen
FieldEngineering
TopicAsphalt Pavement Performance Evaluation
Canadian institutionsnot available
Fundersnot available
KeywordsAsphaltLand reclamationChristian ministryInternational Roughness IndexOverlayEnvironmental scienceAsphalt pavementRutCivil engineeringGeotechnical engineeringEngineeringSurface finishGeographyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

In 2001, the Ministry of Transportation Ontario (MTO ) constructed its first full depth reclamation with expanded asphalt stabilization project on the Trans Canada Highway, between Sault Sainte Marie and Wawa, in Northern Ontario. The project incorporated three different expanded asphalt mix designs and a control section of full depth reclamation with hot mix overlay. The project has been monitored annually over the past 10 years using the Ministry's Automated Road Analyser (ARAN), which measures International Roughness Index (IRI) and rutting. Roughness data indicates a significant difference between the expanded asphalt stabilized base test sections and the control section. The expanded asphalt stabilization has delivered superior performance over the conventional full depth reclamation with hot mix overlay. Performance curves for the different treatments are compared to the ministry's average performance curve for full depth reclamation projects, and to the performance of treatments on adjacent projects. This project demonstrates the exceptional performance of the expanded asphalt mixes, with 10 years of proven superior pavement condition and ride. (A) For the covering abstract of this conference see ITRD record number 201211RT334E.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.852
Threshold uncertainty score0.891

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 communication0.0000.001
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 head0.031
GPT teacher head0.203
Teacher spread0.172 · 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

Citations1
Published2012
Admission routes1
Has abstractyes

Explore more

Same venue2012 CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION: INNOVATIONS AND OPPORTUNITIESSame topicAsphalt Pavement Performance EvaluationFrench-language works237,207