RADAR FOR COLD-IN-PLACE RECYCLED ROAD SYSTEMS Prepared By:
Bibliographic record
Abstract
Saskatchewan Department of Highways and Transportation (SDHT) is responsible for maintaining approximately 6500 kilometers of northern gravel surfaced roads. Many of these northern gravel roads are built on poorly graded sand subgrades and may contain protruding bedrock and/or large boulders. Because of this, washboarding, protruding rocks, rutting and potholes are common performance problems of many northern gravel roads. Routine blading of these roads is often ineffective because unstable sand does not maintain its shape and compaction, protruding bedrock and boulders damage motor grader blades, boulders may become dislodged leaving holes in the road, and dislodged boulders are a safety hazard when windrowed along road side-slopes. Clay capping and base stabilization have been used to provide a stable wearing surface, cover protruding bedrock and large boulders, and reduce traffic dust. However, the long-term performance of clay capping and base stabilization can be highly variable and the associated costs can make these conventional solutions untenable. As a result, SDHT investigated the use of in-place rock crushing and stabilization/modification for northern gravel roads with significant proportion of boulders in the grade using a rotomixer/stabilizer. Based on the findings of this study, in-place rock crushing and stabilization/modification is a technically feasible solution for eliminating protruding bedrock and boulders contained near the surface. However, in-place crushing of boulders with unconfined
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.118 | 0.026 |
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".