Current Research into Airborne UXO Detection
Bibliographic record
Abstract
PreviousNext No AccessSymposium on the Application of Geophysics to Engineering and Environmental Problems 2001Current Research into Airborne UXO DetectionAuthors: William E. DollT. Jeffrey GameyJ. Scott HolladayWilliam E. DollOak Ridge National Laboratory, Oak Ridge, TN, T. Jeffrey GameyOak Ridge National Laboratory, Oak Ridge, TN, and J. Scott HolladayGeosensors Inc., Toronto, Canadahttps://doi.org/10.4133/1.2922963 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/10.4133/1.2922963FiguresReferencesRelatedDetailsCited byA moving hum filter to suppress rotor noise in high-resolution airborne magnetic dataJianghai Xia, William E. Doll, Richard D. Miller, T. Jeffrey Gamey, and Abraham M. Emond7 July 2005 | GEOPHYSICS, Vol. 70, No. 427. Viability of an Airborne Electromagnetic System for Mapping of Shallow Buried MetalsWilliam E. Doll, T. Jeffrey Gamey, J. Scott Holladay, and James L. C. Lee21 March 2012Field tests of an experimental helicopter time‐domain electromagnetic system for unexploded ordnance detectionLes P. Beard, William E. Doll, J. Scott Holladay, T. Jeffrey Gamey, James L.C. Lee, and David T. Bell26 May 2004 | GEOPHYSICS, Vol. 69, No. 3 Symposium on the Application of Geophysics to Engineering and Environmental Problems 2001ISSN (online):1554-8015Copyright: 2001 Pages: publication data© 2001 Copyright © 2001 The Environmental and Engineering Geophysical SocietyPublisher:Environmental & Engineering Geophysical Society HistoryPublished Online: 30 Sep 2008 CITATION INFORMATION William E. Doll, T. Jeffrey Gamey, and J. Scott Holladay, (2001), "Current Research into Airborne UXO Detection," Symposium on the Application of Geophysics to Engineering and Environmental Problems Proceedings : UX23-UX23. https://doi.org/10.4133/1.2922963 Plain-Language Summary PDF DownloadLoading ...
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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".