Survey Study of Pavement Warranty Distress Thresholds
Bibliographic record
Abstract
As a practice of public-private partnership and also as an alternative to traditional contracting for pavement construction and maintenance, pavement warranty has been adopted by many state highway agencies to enhance pavement performance, reduce agency costs, and preserve pavement construction investment. A questionnaire survey was conducted to collect information on the state of practice of pavement warranty programs in the US and Canada. This paper highlights the findings of the survey with an emphasis on warranty specifications for distress thresholds. The survey results show some common characteristics of pavement warranty practice shared by different states, such as warranty types, warranty items, and warranty enforcement. Meanwhile, pavement warranty specifications varied among different states especially in distress threshold values. Although pavement warranty has been applied in the US for almost 20 years, there are still major issues concerning state agencies with respect to the determination of warranty items, the appropriateness of distress thresholds, and the cost-effectiveness of the pavement warranty programs.
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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".