Audio‐magnetotellurics (AMT) for steeply‐dipping mineral targets: importance of multi‐component measurements at each site
Bibliographic record
Abstract
PreviousNext No AccessSEG Technical Program Expanded Abstracts 2002Audio‐magnetotellurics (AMT) for steeply‐dipping mineral targets: importance of multi‐component measurements at each siteAuthors: Alan G. JonesGary McNeiceAlan G. JonesContinental Geoscience Division, Geological Survey of Canada, 615 Booth St., Ottawa, Ontario, K1A 0E9, Canada and Gary McNeiceGeosystem Canada Inc., 927 Raftsman Lane, Ottawa, Ontario, K1C 2V3, Canadahttps://doi.org/10.1190/1.1817293 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Permalink: https://doi.org/10.1190/1.1817293FiguresReferencesRelatedDetailsCited byElectromagnetic characterization of epithermal gold deposits: A case study from the Tuoniuhe gold deposit, Northeast ChinaShan Xu, Fengming Xu, Xiangyun Hu, Qun Zhu, Yuandong Zhao, and Shuang Liu4 March 2020 | GEOPHYSICS, Vol. 85, No. 33D inversion of natural-source electromagnetic data from distributed-acquisition systemsAnna Avdeeva, Max Moorkamp, Alan G. Jones, Alan D. Chave, Shane F. Evans, and Jessica Spratt27 August 2018Electromagnetic imaging of a complex ore body: 3D forward modeling, sensitivity tests, and down-mine measurementsPilar Queralt, Alan G. Jones, and Juanjo Ledo2 March 2007 | GEOPHYSICS, Vol. 72, No. 2A new methodology for the acquisition and processing of audio-magnetotelluric (AMT) data in the AMT dead bandXavier García and Alan G. Jones12 September 2005 | GEOPHYSICS, Vol. 70, No. 5 SEG Technical Program Expanded Abstracts 2002ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2002 Pages: 2478 publication data© 2002 Copyright © 2002 Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 03 Jan 2005 CITATION INFORMATION Alan G. Jones and Gary McNeice, (2002), "Audio‐magnetotellurics (AMT) for steeply‐dipping mineral targets: importance of multi‐component measurements at each site," SEG Technical Program Expanded Abstracts : 496-499. https://doi.org/10.1190/1.1817293 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) | 0.004 | 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".