Mechanistic Investigation of Granular Base and Subbase Materials A Saskatchewan Case Study
Bibliographic record
Abstract
Saskatchewan Department of Highways and Transportation (DHT) commonly specify three types of subbase course and three types of base course materials for conventional road building. These specifications are primarily based on grain size and were developed years ago at a time of lower variation in pit run quality. Today, DHT are experiencing reduced pit run availability and increased variability in pit run quality, especially with respect to fines content. This is resulting in higher pit wastage and with the increased opportunity for undesirable material, there is a higher risk for varied performance in the field. At the same time, traffic loadings have exceeded the original safety margin incorporated into the empirical based granular specifications used today. This study investigated a mechanistic characterization protocol of typical DHT specified granular materials to quantify any significant difference that exist may in the mechanistic behaviour as a function of fines content, moisture content and cement modification. For the covering abstract of this conference see ITRD number E211395.
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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) | 0.000 | 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".