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Record W2115998942 · doi:10.1190/tle33060640.1

Seismic attenuation in partially saturated rocks: Recent advances and future directions

2014· article· en· W2115998942 on OpenAlex
Nicola Tisato, Beatriz Quintal, Samuel Chapman, Claudio Madonna, Shankar Subramaniyan, Marcel Frehner, Erik H. Saenger, Giovanni Grasselli

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Leading Edge · 2014
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Imaging and Inversion Techniques
Canadian institutionsUniversity of Toronto
FundersLilly Family School of Philanthropy, Indiana University-Purdue University IndianapolisSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
KeywordsAttenuationBroadbandGeologyFluid dynamicsBandwidth (computing)SeismologyFluid pressureMineralogyAcousticsMechanicsOpticsPhysicsEngineeringTelecommunications

Abstract

fetched live from OpenAlex

Abstract The large amount of data collected with the broadband attenuation vessel (BBAV) and other laboratory devices and analyzed in the last five years sheds light on the physics of wave-induced fluid flow in Berea Sandstone. However, the knowledge is insufficient to fully exploit the physics of seismic wave attenuation in partially saturated rocks. In particular, some technical challenges have limited the depth of research. Soon these challenges will be overcome by the use of fluid-pressure sensors capable of measuring wave-induced fluid pressure in the seismic bandwidth when the sample is under high confining pressures. In addition, a new subresonance apparatus, paired with a micro-CT system, will be used to further investigate the influence of fluid distribution and microstructural features on attenuation.

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.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.959
Threshold uncertainty score0.185

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 head0.013
GPT teacher head0.231
Teacher spread0.218 · 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