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Record W1605763865 · doi:10.1002/9781118877517.ch3

Permeability Structure of a Strike-Slip Fault

2015· book-chapter· en· W1605763865 on OpenAlexfundno aff
Kenzi Karasaki, C. T. Onishi, Junichi Goto

Bibliographic record

VenueGeophysical monograph · 2015
Typebook-chapter
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Imaging and Inversion Techniques
Canadian institutionsnot available
FundersNuclear Waste Management OrganizationU.S. Department of Energy
KeywordsGeologyStrike-slip tectonicsSeismologyPermeability (electromagnetism)Fault (geology)Transform faultSlip (aerodynamics)Active faultGeotechnical engineeringPetrologyEngineering

Abstract

fetched live from OpenAlex

A study is being conducted on the Wildcat Fault in Berkeley, California, to develop a methodology for characterizing the hydrologic properties of a fault. The geologic setting of the San Francisco Bay Area is intertwined with some of the most complex and active geology in the world. The rocks are extensively sheared and fractured. The Wildcat, a strike-slip fault, appears to consist of multiple fault planes. That the exact location of the main fault is still in dispute among participating researchers highlights the fact that it is very difficult to uniquely characterize such a complex fault zone. The hydrologic characteristics of the Wildcat Fault zone suggest a dual nature, with high permeability along the direction of the fault zone and low permeability across it. Data from cross-hole pumping tests conducted in the high permeability zone along the fault plane exhibit 10:1 near-horizontal anisotropy, which we think is consistent with the fact that the Wildcat is a strike-slip fault. The main philosophy behind our overall approach to the hydrologic characterization of such a complex fractured system is to let the system present its own average property by performing large-scale tests and conducting long-term monitoring, instead of collecting a multitude of data at small length and time scales, or at a discrete fracture scale and to “up-scale,” which is extremely tenuous at best.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.841
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.218
Teacher spread0.198 · 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.

Study designOther design
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

Citations0
Published2015
Admission routes1
Has abstractyes

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