Detection of Underground Voids with Surface Waves
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
PreviousNext No AccessSymposium on the Application of Geophysics to Engineering and Environmental Problems 2000Detection of Underground Voids with Surface WavesAuthors: Christopher PhillipsGiovanni CascanteJean HutchinsonChristopher PhillipsUniversity of Waterloo, Waterloo, Ontario, Canada, N2L 3G1, Giovanni CascanteUniversity of Waterloo, Waterloo, Ontario, Canada, N2L 3G1, and Jean HutchinsonUniversity of Waterloo, Waterloo, Ontario, Canada, N2L 3G1https://doi.org/10.4133/1.2922756 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract Introductory paragraph for this paper is available only in the PDF and GZipped PS filesPermalink: https://doi.org/10.4133/1.2922756FiguresReferencesRelatedDetailsCited ByDetection of subterranean cavities and anomalies using multichannel analysis of surface wave27 February 2020 | Geomechanics and Geoengineering, Vol. 17, No. 1Efficiency of seismic attributes in detecting near-surface cavities31 March 2012 | Arabian Journal of Geosciences, Vol. 6, No. 8Cavity Detection Using Single-fold Frequency Analysis EditorialJournal of Environmental and Engineering Geophysics, Vol. 10, No. 2 Symposium on the Application of Geophysics to Engineering and Environmental Problems 2000ISSN (online):1554-8015Copyright: 2000 Pages: 1255 publication data© 2000 Copyright © 2000 The Environmental and Engineering Geophysical SocietyPublisher:Environmental & Engineering Geophysical Society HistoryPublished: 30 Sep 2008 CITATION INFORMATION Christopher Phillips, Giovanni Cascante, and Jean Hutchinson, (2000), "Detection of Underground Voids with Surface Waves," Symposium on the Application of Geophysics to Engineering and Environmental Problems Proceedings : 29-37. https://doi.org/10.4133/1.2922756 Plain-Language Summary PDF DownloadLoading ...
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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