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Record W2906674142 · doi:10.1134/s0001433818070046

Ring-Shaped Seismicity Structures in the Cascadia Subduction Zone: Possible Upcoming Large Earthquakes

2018· article· en· W2906674142 on OpenAlexaboutno aff
Yu. F. Kopnichev, И. Н. Соколова

Bibliographic record

VenueIzvestiya Atmospheric and Oceanic Physics · 2018
Typearticle
Languageen
FieldEarth and Planetary Sciences
Topicearthquake and tectonic studies
Canadian institutionsnot available
Fundersnot available
KeywordsInduced seismicitySubductionGeologySeismologyPacific PlateTectonics

Abstract

fetched live from OpenAlex

Seismicity characteristics in the Cascadia subduction zone located west of North America are considered. It has been established that, since 1964, shallow (h = 0–33 km) ring-shaped seismicity structures with threshold magnitudes Mt of 4.4 and 4.6, respectively, have been formed prior to two large earthquakes (on August 17, 1991, Mw = 7.1 and April 25, 1992, Mw = 7.2). Note that, unlike many other subduction zones, deep ring-shaped structures (h = 34–70 km) have not been observed here. At the same time, deep seismicity strips are sometimes formed in this zone. Two new ring-shaped structures with Mt equal to 5.0 and 5.2, which began to form here since 1973, are distinguished. There are grounds to suppose that large earthquakes can be expected in the regions of these structures. We estimate the magnitudes of possible large earthquakes: Mw = 7.8 and 7.9 on the basis of the correlation dependences of the seismicity ring sizes and Mt values on the magnitudes of major events obtained earlier for the East Pacific. These data allowed us to conclude that processes of preparation for a great earthquake with Mw ~ 9.0, similar to the 1700 event, did not begin in the subduction zone. At the same time, a large earthquake (Mw = 7.9 ± 0.1) is possible in a few years in the region of Vancouver Island. We suppose that the formation of shallow rings and deep strips of seismicity is related to deep fluid migration, as occurs in other regions.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.149
Threshold uncertainty score0.623

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 studies0.0010.000
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 head0.014
GPT teacher head0.221
Teacher spread0.208 · 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 designObservational
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

Citations2
Published2018
Admission routes1
Has abstractyes

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