Near Surface Data Analysis
Bibliographic record
Abstract
PreviousNext You have accessSymposium on the Application of Geophysics to Engineering and Environmental Problems 2016Near Surface Data AnalysisAuthors: Fidele B.J. YrroMichel ChouteauErwan GloaguenMats Lundh GulbrandsenBurke MinsleyFlemming JørgensenTorben BachThomas Mejer HansenHossein FadaifardGonzalo VasquezJose ArrellagaAaron DavisFidele B.J. YrroEcole Polytechnique, Montreal, QC (Canada), Michel ChouteauEcole Polytechnique, Montreal, QC (Canada), Erwan GloaguenINRS-ETE, Quebec, QC (Canada), Mats Lundh GulbrandsenUniversity of Copenhagen, Burke MinsleyUSGS, Flemming Jørgensen, Torben BachI•GIS, Thomas Mejer HansenUniversity of CopenhagenFarnyuh Menq, ENSOFT Inc., Hossein FadaifardENSOFT Inc., Gonzalo VasquezENSOFT Inc., Jose ArrellagaENSOFT Inc., and Aaron DavisCSIROhttps://doi.org/10.4133/SAGEEP.29-067 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract The individual abstracts for this session are available to read in the PDF. Keywords: time-domain electromagnetic integration, gradual deformation, multipoint simulation, geoelectric, Geo-feature classification, machine learning, quantitative geology, Continue Wavelet Transform, pile, arrival time, drilled shaft, Gridding, AEM, airborne electromagnetics, palaeovalleyPermalink: https://doi.org/10.4133/SAGEEP.29-067FiguresReferencesRelatedDetails Symposium on the Application of Geophysics to Engineering and Environmental Problems 2016ISSN (online):1554-8015Copyright: 2016 Pages: 647 publication data© 2016 Published in electronic format with permission by the Society of Exploration Geophysicists and Environment and Engineering Geophysical SocietyPublisher:Environmental & Engineering Geophysical Society HistoryPublished Online: 24 Mar 2016 CITATION INFORMATION Fidele B.J. Yrro, Michel Chouteau, Erwan Gloaguen, Mats Lundh Gulbrandsen, Burke Minsley, Flemming Jørgensen, Torben Bach, Thomas Mejer Hansen, Hossein Fadaifard, Gonzalo Vasquez, Jose Arrellaga, and Aaron Davis, (2016), "Near Surface Data Analysis," Symposium on the Application of Geophysics to Engineering and Environmental Problems Proceedings : 392-395. https://doi.org/10.4133/SAGEEP.29-067 Plain-Language Summary Keywordstime-domain electromagnetic integrationgradual deformationmultipoint simulationgeoelectricGeo-feature classificationmachine learningquantitative geologyContinue Wavelet Transformpilearrival timedrilled shaftGriddingAEMairborne electromagneticspalaeovalleyPDF 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) | 0.001 | 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".