UXO Discrimination and Identification Using Magnetometry
Bibliographic record
Abstract
PreviousNext No AccessSymposium on the Application of Geophysics to Engineering and Environmental Problems 2002UXO Discrimination and Identification Using MagnetometryAuthors: Stephen D. BillingsLeonard R. PassionDouglas W. OldenburgStephen D. BillingsGeophysical Inversion Facility, The University of British Columbia, Vancouver, BC, Leonard R. PassionGeophysical Inversion Facility, The University of British Columbia, Vancouver, BC, and Douglas W. OldenburgGeophysical Inversion Facility, The University of British Columbia, Vancouver, BChttps://doi.org/10.4133/1.2927059 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/10.4133/1.2927059FiguresReferencesRelatedDetailsCited ByMarine UXO detection: Critical analysis of the magnetic workflowSara Lise Underhay, Mark E. Vardy, and Timothy J. Henstock11 June 2021Magnetic survey and autonomous target reacquisition with a scalar magnetometer on a small AUV2 May 2020 | Journal of Field Robotics, Vol. 37, No. 7UXO Detection by Multiscale Potential Field Methods3 May 2019 | Pure and Applied Geophysics, Vol. 176, No. 10A Comparison of the Finite-Element Method and Analytical Method for Modeling Unexploded Ordnance Using MagnetometryIEEE Transactions on Geoscience and Remote Sensing, Vol. 50, No. 75. Inversion for Applied Geophysics: A Tutorial21 March 2005 Symposium on the Application of Geophysics to Engineering and Environmental Problems 2002ISSN (online):1554-8015Copyright: 2002 Pages: publication data© 2002 Copyright © 2002 The Environmental and Engineering Geophysical SocietyPublisher:Environmental & Engineering Geophysical Society HistoryPublished: 30 Sep 2008 CITATION INFORMATION Stephen D. Billings, Leonard R. Passion, and Douglas W. Oldenburg, (2002), "UXO Discrimination and Identification Using Magnetometry," Symposium on the Application of Geophysics to Engineering and Environmental Problems Proceedings : 12UXO4-12UXO4. https://doi.org/10.4133/1.2927059 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".