Comparison of mechanistic laboratory characterization and 10-year rutting performance of SPS-9A test site in Saskatchewan
Bibliographic record
Abstract
This paper provides a performance comparison of mechanistic laboratory and field rutting performance of four asphalt concrete mixes constructed in 1996 at a Strategic Highway Research Program SPS-9A test site located in Saskatchewan. The asphalt mixes included two Saskatchewan Type 70 Marshall mixes and two coarse graded Superpave™ mixes and employed 150–200A and 200–300A penetration grade asphalt cement binders. The triaxial frequency sweep characterization determined that the Superpave™ mix yielded improved mechanistic structural constitutive properties when compared to the Saskatchewan Type 70 mix. In addition, improved mechanistic structural properties were observed with the mixes employing 150–200A (PG 58-28) asphalt binder relative to the 200–300A (PG 52-34) asphalt binder, particularly the Saskatchewan Type 70 mix. The 10-year rutting performance of the Radisson SPS-9A test site was evaluated and the field rutting results concurred with the triaxial frequency sweep test results. The triaxial frequency sweep characterization employed in this study appears to adequately rank asphalt mixes with respect to field rutting performance.
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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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".