Bituminous Sealants For Pavement Joints And
Bibliographic record
Abstract
Bituminous crack sealants are used to seal cracks and joints in pavements. In Canada and in regions experiencing harsh climates, sealants often fail prematurely, however. This is, in part, because it is difficult to select the best sealants, those that can withstand demanding conditions, based on the existing ASTM D3405 specification. Consequently, users would like to have a performance-based specification that allows for selecting appropriate sealants. The aim of this paper is to serve as a building block in the development of such a specification. For that purpose, sealant failures, field performance in cold climates, standard test results, sealant aging, rheology and adhesion are reviewed. From this exercise, it is anticipated that a performance-based specification would contain a rheological or thermal test that is indicative of the sealant performance in the spectrum of service temperatures; adhesion, viscosity, and solubility tests; and two aging tests, one that simulates installation, the other, weathering in service.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".