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Record W4205742684 · doi:10.4133/1.2923378

Transient Audio‐Magnetotelluric Imaging of a Buried Valley

2004· article· en· W4205742684 on OpenAlexaboutno aff
David Goldak, Shawn M. Goldak

Bibliographic record

VenueSymposium on the Application of Geophysics to Engineering and Environmental Problems 2004 · 2004
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeophysical and Geoelectrical Methods
Canadian institutionsnot available
Fundersnot available
KeywordsMagnetotelluricsTransient (computer programming)GeologyTransient analysisComputer scienceSeismologyElectrical engineeringTransient responseEngineeringElectrical resistivity and conductivity

Abstract

fetched live from OpenAlex

PreviousNext No AccessSymposium on the Application of Geophysics to Engineering and Environmental Problems 2004Transient Audio‐Magnetotelluric Imaging of a Buried ValleyAuthors: David K. GoldakShawn M. GoldakDavid K. GoldakEMpulse Geophysics, Saskatoon, Sask. and Shawn M. GoldakEMpulse Geophysics, Saskatoon, Sask.https://doi.org/10.4133/1.2923378 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/10.4133/1.2923378FiguresReferencesRelatedDetailsCited ByMapping of a palaeo-channel course of the Wainganaga River, Maharashtra, India3 November 2005 | Bulletin of Engineering Geology and the Environment, Vol. 64, No. 3 Symposium on the Application of Geophysics to Engineering and Environmental Problems 2004ISSN (online):1554-8015Copyright: 2004 Pages: 1823 publication data© 2004 Copyright © 2004 The Environmental and Engineering Geophysical SocietyPublisher:Environmental & Engineering Geophysical Society HistoryPublished: 30 Sep 2008 CITATION INFORMATION David K. Goldak and Shawn M. Goldak, (2004), "Transient Audio‐Magnetotelluric Imaging of a Buried Valley," Symposium on the Application of Geophysics to Engineering and Environmental Problems Proceedings : 633-643. https://doi.org/10.4133/1.2923378 Plain-Language Summary PDF DownloadLoading ...

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.597
Threshold uncertainty score0.426

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.004
GPT teacher head0.167
Teacher spread0.163 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2004
Admission routes1
Has abstractyes

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