FEELING BUBBLY : ONTARIO EXPERIMENTS WITH COLD IN-PLACE RECYCLED EXPANDED ASPHALT MIX
Bibliographic record
Abstract
Ontario, Canada, is using a new version of cold in-place recycling (CIR), which is an established in-situ pavement rehabilitation method that recycles 75 to 125 mm of existing hot-mix asphalt, sizes it, mixes in additional asphalt cement and lays it back down. But instead of using emulsified asphalt for the added asphalt cement, the new system uses foamed, or expanded, asphalt that has been treated with a cold spray to cause it to increase in volume. This combination of CIR and expanded asphalt results in a 100% recycled material referred to as cold in-place recycled expanded asphalt mix (CIREAM). Tables are included showing the falling weight deflectometer results after construction and at one year and the roughness and rutting results for the same time periods. The process was used on a trial section of Highway 7, east of Perth, Ontario, in July 2003. CIREAM resulted in a smooth, hard, uniform surface and was an excellent platform for HMA paving operations. It also appears to provide an economical alternative to conventional CIR.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".