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Record W4405357792 · doi:10.1002/9781394195947.ch9

Synthesis of the Seismic Structure of the Greater Alaska Region: Geodynamics Implications

2024· other· en· W4405357792 on OpenAlexaffabout
M. A. Jadamec, G. L. Pavlis, Xiaotao Yang, K. M. Fischer, S. Shawn Wei, Michael Everett Mann, A. J. Schaeffer

Bibliographic record

VenueGeophysical monograph · 2024
Typeother
Languageen
FieldEarth and Planetary Sciences
Topicearthquake and tectonic studies
Canadian institutionsGeological Survey of CanadaNatural Resources Canada
Fundersnot available
KeywordsGeodynamicsGeologySeismologyGeophysicsTectonics

Abstract

fetched live from OpenAlex

EarthScope has fundamentally improved the characterization of the crust and mantle structure within and below the North American plate in Alaska and northwestern Canada. This study reviews the geodynamic implications of recent EarthScope seismic synthesis results in the context of recent and classic geodynamic models of both location-specific and generalized subduction, and the limitations of models therein. In particular, the study examines constraints geodynamic models place on the tectonic implications of the improved upper plate, slab, and mantle structure for slab dynamics, mantle flow, and upper plate deformation. First-order remaining questions are identified for the Aleutian–Alaska subduction zone, interior Alaska, and northwestern Canada, including how deeper slab structure may affect trench motion and upper plate deformation, mechanisms of flat slab subduction, and the role of the Yakutat plateau subduction-collision in these processes. EarthScope seismic syntheses for Alaska are considered in the larger context of the Pacific Ring of Fire multi-plate system, of which the Aleutian–Alaska subduction zone forms the northern boundary. Similarities and differences with other subduction zones along the Pacific Ring of Fire are examined, with the Aleutian–Alaska subduction zone serving as a window to tectonic processes elsewhere along the Pacific Ring of Fire.

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 score0.465
Threshold uncertainty score0.406

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.009
GPT teacher head0.192
Teacher spread0.184 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

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