Design, Construction, and Performance of CPATT's Test Road
Bibliographic record
Abstract
A new initiative involving an integrated laboratory, field facility, and research program was described in a presentation to the Canadian User Producer Group (CUPGA) in Halifax in 2003. This initiative, within the Centre for Pavement and Transportation Technology (CPATT), has received an unprecedented level of federal, provincial, municipal, private sector, and university support in a total package of $6 million. It is intended that the research infrastructure from this support will provide the capability for tackling a large range of problems and issues in the pavement and transportation field. A field experiment, constructed in 2002, consisting of a number of pavement sections, is a major part of the CPATT program. Key variables in the experiment included different asphalt mixes (Superpave, SMA, and polymer modified). Key performance measurements include FWD measurements, roughness progression (IRI), skid number, and surface distress. As well, extensive materials characterization measurements were carried out on all the material at the test site. This paper first briefly outlines the contexts for the field experiments and then describes in detail the experimental plan, the materials types and properties, the structural design, the loading history and the performance record to date.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".