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Record W2032530952 · doi:10.1190/1.1816525

Playing with fire: Noise alignment in trim and residual statics

2001· article· en· W2032530952 on OpenAlexaffabout
Charles P. Ursenbach, John C. Bancroft

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicNeural Networks and Applications
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsStaticsSpurious relationshipTrimResidualNoise (video)SIGNAL (programming language)Context (archaeology)WaveletFunction (biology)SmoothingControl theory (sociology)MathematicsComputer scienceAlgorithmPhysicsStructural engineeringStatisticsEngineeringGeologyClassical mechanics

Abstract

fetched live from OpenAlex

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2001Playing with fire: Noise alignment in trim and residual staticsAuthors: Charles P. UrsenbachJohn C. BancroftCharles P. UrsenbachCREWES Project, Department of Geology and Geophysics, University of Calgary and John C. BancroftCREWES Project, Department of Geology and Geophysics, University of Calgaryhttps://doi.org/10.1190/1.1816525 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Permalink: https://doi.org/10.1190/1.1816525FiguresReferencesRelatedDetailsCited ByResidual statics correction without NMO — A rank-based approachAli M. Alfaraj, Eric Verschuur, and Felix J. Herrmann1 September 20213D seismic geometry quality control and corrections by applying machine learningWenbin Jiang, Jie Zhang, and Lee Bell9 October 2019 | GEOPHYSICS, Vol. 84, No. 6Wavelet balancing for residual moveoutsWilliam S. Harlan24 October 2014 | GEOPHYSICS, Vol. 79, No. 6Assessing the seismic AVA detectability of CO 2 storage sites using novel time-lapse attributes16 October 2013 | Petroleum Geoscience, Vol. 19, No. 4Correction for the influence of velocity lenses on nonhyperbolic moveout inversion for VTI mediaMamoru Takanashi and Ilya Tsvankin23 May 2011 | GEOPHYSICS, Vol. 76, No. 3Correction for the influence of velocity lenses on nonhyperbolic moveout inversion for VTI mediaMamoru Takanashi and Ilya Tsvankin21 October 2010Simultaneous multivintage time-shift estimationEhsan Zabihi Naeini, Henning Hoeber, Gordon Poole, and Hamid R. Siahkoohi1 September 2009 | GEOPHYSICS, Vol. 74, No. 5 SEG Technical Program Expanded Abstracts 2001ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2001 Pages: 2135 publication data© 2001 Copyright © 2001 Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished: 03 Jan 2005 CITATION INFORMATION Charles P. Ursenbach and John C. Bancroft, (2001), "Playing with fire: Noise alignment in trim and residual statics," SEG Technical Program Expanded Abstracts : 1973-1976. https://doi.org/10.1190/1.1816525 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 score0.790
Threshold uncertainty score0.134

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 head0.017
GPT teacher head0.242
Teacher spread0.225 · 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

Citations13
Published2001
Admission routes2
Has abstractyes

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Same topicNeural Networks and ApplicationsFrench-language works237,207