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Record W4412108014 · doi:10.1130/g53365.1

Palinspastic restoration of the Olympic orocline and its implications

2025· article· en· W4412108014 on OpenAlexaff
Wenbo Zhang, Stephen T. Johnston, Kristin Morell, Bo Wan

Bibliographic record

VenueGeology · 2025
Typearticle
Languageen
FieldComputer Science
TopicAnomaly Detection Techniques and Applications
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsGeologyEarth sciencePaleontologySeismology

Abstract

fetched live from OpenAlex

Abstract The topographic grain and bedrock structure of the Olympic Mountains define a convex-landward horseshoe shape in map view (the Olympic orocline) in the upper plate of the Cascadia subduction zone. This map curvature has been explained as a product of orogen/trench-normal deformation due to accretion and underplating. The basaltic Crescent Formation of the Siletzia terrane outcrops around the periphery of the Olympic Mountains and continues south, underlying much of the “Oregon forearc block.” Regional GPS and paleomagnetic studies demonstrate that the limbs of the Olympic orocline record opposite rotations during overall northward motion relative to cratonic North America. Here, we compile paleomagnetic and structural data to show that the Olympic orocline is a vertical-axis fold. We palinspastically undo the fold, showing that oroclinal folding accommodated 110 km of shortening of the Cascadia forearc. We suggest that subduction underthrusting initially produced a margin-parallel, oceanward-verging fold belt. Oroclinal folding resulted from pinning of the deformed, northward-translating forearc against the Coast Range buttress to the north. Oroclinal bending of the upper plate resulted in the landward retreat of the hinge zone away from the trench, giving rise to passive upward warping of the downgoing Juan de Fuca oceanic lithosphere beneath the growing orocline. Our model provides a deformation sequence that explains the Olympic Mountains as a result of margin-parallel translation and shortening of the Cascadia forearc.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.923
Threshold uncertainty score0.098

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)0.0000.000

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 head0.011
GPT teacher head0.265
Teacher spread0.254 · 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 designTheoretical or conceptual
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
Published2025
Admission routes1
Has abstractyes

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