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Record W3002483820 · doi:10.1029/2019tc005489

Moho Structure Across the Backarc‐Craton Transition in the Northern U.S. Cordillera

2020· article· en· W3002483820 on OpenAlexaffabout
Lydia DiCaprio, Tannistha Maiti, Jan Dettmer, David W. Eaton

Bibliographic record

VenueTectonics · 2020
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCratonGeologyLithosphereSeismologyShear zoneTransition zoneTectonicsGeophysics

Abstract

fetched live from OpenAlex

Abstract In southern Canada and the northern United States, the present‐day western edge of the North American craton (Laurentia) is marked by a profound change in lithospheric thickness, from 100 km within a hot backarc setting beneath the Cordillera to 200 km beneath the craton. A nearly uniformly flat Moho in the backarc region of southern Canada has been interpreted as a young feature that was produced by lower crustal channel flow. The tectonic environment of the southern Canadian Cordillera extends southward to the Lewis and Clark shear zone in the northern United States, where previously deployed EarthScope Transportable Array stations provide coverage on a 70 km grid. Here, data from Transportable Array stations are used to investigate teleseismic P to S receiver functions of crustal structure across the craton‐backarc transition, coupled with lithospheric structure derived from a recent global tomographic model. These images suggest that, north of the Lewis and Clark shear zone, the shallower Moho beneath the Cordillera has encroached on the craton, creating a narrow complex transition zone. To the south, a step‐like change in crustal thickness is observed, and the complex Moho transition zone is absent. Taken together with other geological and geophysical data, these observations suggest that a young Moho has progressed eastward accompanied by thermal and/or mechanical modification of the Laurentian lithosphere.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.163
Threshold uncertainty score0.997

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.013
GPT teacher head0.201
Teacher spread0.188 · 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 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

Citations9
Published2020
Admission routes2
Has abstractyes

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