Cold Weather Paving Using Warm Mix Asphalt Technology
Bibliographic record
Abstract
Asphalt cement modified with HyperTherm was used to demonstrate that warm mix asphalt technology can be used to extend the paving season by facilitating paving in cold weather. HyperTherm was validated as an effective warm mix technology during an overlay project on Katimavik Road in the City of Ottawa. The project involved the City of Ottawa mew 4.75 mm FC1 mix intended for traffic level C (3 to 10 million Equivalent Single Axle Loads) placed at a nominal 25 mm thickness. PG 58-28 modified with HyperTherm was used as the asphalt cement. The warm mix was produced at about 120 degrees C at the plant and compacted at between 75 to 90 degrees C. Phase two of the study utilized the improved mix workability properties imparted by warm mix technology to extend the paving season in a cold weather application. Oxford Road 4 in the County of Oxford, Ontario, was paved in December with PG 58-28 modified with HyperTherm. The mix was produced at conventional hot mix temperatures. Compaction targets were achieved despite the low ambient air temperatures and frozen granular grade by utilizing the improved workability imparted by the warm mix modifier.
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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 | 0.000 | 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 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".