Satellite sensing technology to monitor bridges and other civil infrastructures
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 widespread deterioration of urban bridges has highlighted the importance of developing effective bridge monitoring strategies to identify structural problems before they become critical to public safety. The capability of Canada?s RADARSAT-2 advanced synthetic aperture radar satellite is being investigated for use in an approach to help prioritize in-situ monitoring and maintenance of critical bridges. Radar Interferometry is an advanced processing technique applied to radar images of the earth?s surface that can detect very small ground movements. With this technique, it is possible to detect changes in the elevation of civil infrastructures (e.g. bridges and roads) in the millimetre range, and therefore identify excessive displacements requiring more detailed ground investigation. A major advantage of this technology is that a single radar image, which can be obtained in darkness and through clouds, can cover a major urban centre. Preliminary results from an application of this technology to the transportation infrastructure in the Vancouver metropolitan area are presented.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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