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Record W2805640597 · doi:10.1029/2018gl078014

The 1 May 2017 British Columbia‐Alaska Earthquake Doublet and Implication for Complexity Near Southern End of Denali Fault System

2018· article· en· W2805640597 on OpenAlexaboutno aff
Xiaohui He, Sidao Ni, Peizhen Zhang, Jeffrey T. Freymueller

Bibliographic record

VenueGeophysical Research Letters · 2018
Typearticle
Languageen
FieldEarth and Planetary Sciences
Topicearthquake and tectonic studies
Canadian institutionsnot available
FundersNational Natural Science Foundation of ChinaNorthwestern University
KeywordsSeismologyGeologyAftershockFocal mechanismFault (geology)TranspressionGeodesyCollisionInduced seismicitySinistral and dextral

Abstract

fetched live from OpenAlex

Abstract On 1 May 2017, two MW6.2 earthquakes occurred near the border of northwestern British Columbia and Alaska separated by about 2 hr in time. Despite their close distance (~10 km), the two events have different focal mechanisms, with the first featuring a reverse focal mechanism and the second strike slip. Both focal plane solutions are inconsistent with the nearby southeastern Denali fault system. To resolve their ruptured fault planes, we invert for the earthquake point source parameters and analyze rupture directivity via regional and teleseismic waveforms. We also model the near‐field GPS data and relocate the aftershocks to determine the fault planes. The results indicate that the first event ruptured updip along a steep SW‐dipping fault and the second event ruptured to the ESE along a left‐lateral fault. We infer that the earthquake doublet was related to the regional stress field and slip on the active Duke River fault. The involved faults are associated with transpression caused by the oblique collision of the Yakutat block.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.518
Threshold uncertainty score0.959

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.056
GPT teacher head0.298
Teacher spread0.242 · 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 source (direct Gemma or distilled Codex), 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

Citations16
Published2018
Admission routes1
Has abstractyes

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