Bibliographic record
Abstract
Two chemically and physically different SHRP asphalts (AAA-1 and AAC-1) were mixed with 15 and 50 percent of extracted RAP binders, designated Manitoba and South Carolina. Several analytical techniques including dynamic shear rheometry, Automated Flocculation Titrimetry (AFT), and Differential Scanning Calorimetry (DSC) were used to characterize physical properties of the starting materials and RAP binder mixtures. Results indicate that different virgin binders interact differently with different RAP binders suggesting that PG grade adjustment is both asphalt and RAP binder dependent where certain virgin binders require higher PG grade adjustment compared to other blends. This finding is somewhat contradictory to what current literature recommends. Results obtained in the present study seem to suggest that knowledge of the stiffness of starting materials alone does not adequately explain observed differences in PG grade change. Rather, information of the composition, specifically asphaltene content, lends additional insight into observed differences in PG grades of virgin with RAP binder mixtures.
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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) | 0.001 | 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 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".