Modulated Differential Scanning Calorimetry Study of Physical Hardening Rates in Asphalt Cements
Bibliographic record
Abstract
Low-temperature cracking is a major cause of pavement failure, particularly in northern climates. Unfortunately, current asphalt cement test methods do not account for the effects of gradual physical hardening in the material during cold conditioning, and therefore cannot properly assess thermal cracking performance. Testing done using the extended bending beam rheometer (BBR) protocol has been shown to provide much better results, but the method is considered to be lengthy for regular specification grading. In this study, modulated differential scanning calorimetry (MDSC) was investigated to determine if it could be used as a more practical alternative to extended BBR testing. Asphalts from an Ontario pavement trial were tested to see how their glass transition temperatures changed with conditioning. Although a direct comparison to extended BBR data was unsuccessful, a new value was discovered that was able to relate the MDSC results to performance in service.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".