Evaluating normalized magnetic derivatives for structural mapping
Bibliographic record
Abstract
PreviousNext No AccessSEG Technical Program Expanded Abstracts 2006Evaluating normalized magnetic derivatives for structural mappingAuthors: J. D. FairheadS. E. WilliamsJ. D. Fairhead and S. E. WilliamsGETECH, University of Leeds, LS2 9JT, UKhttps://doi.org/10.1190/1.2370388 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Permalink: https://doi.org/10.1190/1.2370388FiguresReferencesRelatedDetailsCited ByStudy of gravity signature across the floating basement of Bundelkhand granite using 3D-Euler deconvolution, source edge detection technique and various gravity gradient analyses24 May 2022 | Acta Geophysica, Vol. 70, No. 4Convolutional neural networks applied to the interpretation of lineaments in aeromagnetic dataTomas Naprstek and Richard S. Smith11 November 2021 | GEOPHYSICS, Vol. 87, No. 1Interpretation of Aeromagnetic and Geochemical Data for Tectonic and Structural Setting of Granitic Rocks Around Bishewa Area, Southwestern Nigeria21 April 2022Magnetic and gravity investigation of kimberlites in north-central BotswanaKitso Matende and Kevin Mickus15 February 2021 | GEOPHYSICS, Vol. 86, No. 2Aeromagnetic mapping of fault architecture along Lagos–Ore axis, southwestern Nigeria13 July 2020 | Open Geosciences, Vol. 12, No. 1Interpretation of gravity anomaly to delineate thrust faults locations at the northeastern part of India and its adjacent areas using source edge detection technique, tilt derivative and Cos(θ) analysis28 August 2019 | Acta Geophysica, Vol. 67, No. 5Practical considerations in the use of edge detectors for geologic mapping using magnetic dataMark Pilkington and Victoria Tschirhart27 February 2017 | GEOPHYSICS, Vol. 82, No. 3Magnetic Data Interpretation for the Source-Edge Locations in Parts of the Tectonically Active Transition Zone of the Narmada-Son Lineament in Central India23 April 2015 | Pure and Applied Geophysics, Vol. 173, No. 2Interpretation of high resolution aeromagnetic data for lineaments study and occurrence of Banded Iron Formation in Ogbomoso area, Southwestern NigeriaJournal of African Earth Sciences, Vol. 114Using high-resolution aeromagnetic data to recognise and map intra-sedimentary volcanic rocks and geological structures across the Cretaceous middle Benue Trough, NigeriaJournal of African Earth Sciences, Vol. 99Qualitative geophysical interpretation of the Sudbury StructureOladele Olaniyan, Richard S. Smith, and Bill Morris26 July 2013 | Interpretation, Vol. 1, No. 1Enhancement of the total horizontal gradient of magnetic anomalies using the tilt angleFrancisco J. F. Ferreira, Jeferson de Souza, Alessandra de B. e S. Bongiolo, and Luís G. de Castro12 April 2013 | GEOPHYSICS, Vol. 78, No. 3Qualitative geophysical interpretation of the Sudbury structureOladele Olaniyan, Richard S. Smith, and W.A. Morris25 October 2012New developments of the magnetic tilt-depth method to improve structural mapping of sedimentary basins31 August 2011 | Geophysical Prospecting, Vol. 59, No. 6Structural Setting of Northern Tunisia Insights from Gravity Data Analysis Jendouba Case Study31 August 2010 | Pure and Applied Geophysics, Vol. 168, No. 10Determination of grave locations in Dedemezari Necropolis (Western Turkey) using magnetic field derivativesArchaeological Prospection, Vol. 15, No. 4 SEG Technical Program Expanded Abstracts 2006ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2006 Pages: 3541 publication data© 2006 Copyright © 2006 Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished: 06 Oct 2006 CITATION INFORMATION J. D. Fairhead and S. E. Williams, (2006), "Evaluating normalized magnetic derivatives for structural mapping," SEG Technical Program Expanded Abstracts : 845-849. https://doi.org/10.1190/1.2370388 Plain-Language Summary PDF DownloadLoading ...
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".