Ground-Penetrating Radar for Network-Level Concrete Deck Repair Management
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The lack of an effective bridge deck condition assessment tool prompted a collaborative research program between Dalhousie University DalTech and the Nova Scotia Department of Transportation and Public Works to assess the accuracy and variability of ground-penetrating radar (GPR) for asphalt-covered, reinforced-concrete bridge deck deterioration estimates. The quantity and location of GPR-predicted deterioration on nine bridge decks was compared to actual deterioration detected using the half-cell potential and chain drag survey methods. Good spatial correlation and excellent quantitative correlation were observed between the GPR predictions and the actual deterioration found on the nine decks. These findings have demonstrated that GPR can provide management with a valuable tool for estimating deck repair quantities and prioritization of potential repair candidates on a network level.
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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 it