Bibliographic record
Abstract
The performance of bituminous sealants applied to cracks and joints is partly governed by installation. An important installation parameter yet to be investigated is the sealant rate of cooling after it is poured hot. Cooling rates affect sealant microstructure and rheology, adhesion at the sealant–hot-mix asphalt interface, and the time during which traffic must be rerouted. To provide data on sealant cooling rates, the temperature change in three sealants was measured in the field and in the laboratory. Results indicated that sealant bulk temperatures were >50°C lower than the sealant application temperature, typically 180°C, almost immediately after pouring, and that sealant bulk temperatures reached 40°C or less within 15 min. This finding suggests that traffic could be rerouted for less time than the standard 30 min. The instantaneous sealant temperature at the sealant–substrate interface was also measured to be below 100°C immediately after pouring of the sealant. This finding emphasizes the need for sealants with good wetting propensity to maximize the potential for proper adhesion.
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 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 | 0.001 | 0.002 |
| 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 | 0.001 |
| 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".