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Record W4409768177 · doi:10.1029/2024jb030654

Subducted Slab Slipping Underneath the Northern Edge of the Pacific Large Low‐Shear‐Velocity Province in D″

2025· article· en· W4409768177 on OpenAlexfundno aff
Keisuke Otsuru, Kenji Kawai, Robert J. Geller

Bibliographic record

VenueJournal of Geophysical Research Solid Earth · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
Topicearthquake and tectonic studies
Canadian institutionsnot available
FundersJapan Society for the Promotion of ScienceU.S. Geological SurveyInstitut de Physique du Globe de ParisChina Earthquake AdministrationUniversity of California, Santa BarbaraUniversity of Nevada, RenoUniversity of OregonNatural Resources CanadaUniversity of WashingtonNational Oceanic and Atmospheric AdministrationUniversiteit UtrechtCalifornia Institute of Technology
KeywordsSlippingSlabGeologySubductionSeismologyShear (geology)Enhanced Data Rates for GSM EvolutionSlab windowGeometryPetrologyGeophysicsOceanic crustEngineering

Abstract

fetched live from OpenAlex

Abstract We conduct waveform inversion for the 3‐D seismic shear wave (S‐wave) velocity structure in the lowermost mantle near the northern edge of the Pacific large low‐shear‐velocity province (LLSVP). We image a slab‐like high‐velocity anomaly slipping beneath the Pacific LLSVP in the lowermost 200 km of the mantle, extending toward an ultra‐low velocity zone (ULVZ) beneath a point about 2,000 km southwest of Hawaii. Another strong low‐velocity anomaly exists along the edge of the LLSVP just above the slab‐like sheet, 50–200 km above the core‐mantle boundary (CMB). These results suggest in general that (a) slabs can gather ULVZ materials scattered on the CMB and push them into LLSVPs, creating concentrated ULVZs near LLSVP edges, (b) slabs can uplift hot material from the CMB to create strong anomalies along the edges of LLSVPs, and (c) large seismic‐wave velocity contrasts between strong low‐velocity anomalies and slabs create sharp LLSVP boundaries.

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)0.000
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 score0.080
Threshold uncertainty score0.159

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.028
GPT teacher head0.299
Teacher spread0.271 · 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

Citations5
Published2025
Admission routes1
Has abstractyes

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