Rheological Testing of Asphalt Cements Recovered from an Ontario Pavement Trial
Bibliographic record
Abstract
This paper describes how seven asphalt cements were recovered from field cores taken from a five-year-old, northeastern Ontario pavement tests. The original laboratory-aged materials all graded in a narrow range between –35oC and –36oC, according to the current bending beam rheometer (BBR) protocol. However, their low temperature performance showed early and significant variability after the pavement was exposed to a cold spell in early 2004. Two of the test sections showed virtually no distress while the remaining five were cracked to significant degrees. Conventional rheological characterization revealed important differences between laboratory-aged and recovered materials, but the results could only partially explain the observed performance ranking. Additional testing after low temperature conditioning assisted in clearing up the most important inconsistencies. It was found that premature and excessive cracking is associated with the presence of problematic additives in the asphalt cement (e.g., waste engine oils, air blowing catalysts, acids, and the like).
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".