Long Term Performance of Full Depth Reclamation with Expanded Asphalt on the Trans-Canada Highway Near Wawa, Ontario
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".