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Record W2100271147 · doi:10.1029/2008gl035342

Plumes anchored by a high viscosity lower mantle in a 3D mantle convection model featuring dynamically evolving plates

2008· article· en· W2100271147 on OpenAlexafffund
J. P. Lowman, Andrew Gait, Carl W. Gable, H. Kukreja

Bibliographic record

VenueGeophysical Research Letters · 2008
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicHigh-pressure geophysics and materials
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMantle (geology)GeologyMantle convectionPlate tectonicsLithosphereIntraplate earthquakeGeophysicsMantle plumeConvectionHotspot (geology)PlumeMechanicsSeismologyPhysicsTectonicsMeteorology

Abstract

fetched live from OpenAlex

Previous studies have shown that 3D vigorously convecting systems featuring plate‐like surface motion and lower mantle viscosities much greater than the upper mantle viscosity can yield long lived intraplate plumes if plate boundaries remain fixed. We investigate whether plumes originating in a lower mantle 90 times more viscous than the upper mantle will maintain relatively fixed positions when dynamic plate evolution is present. We compare the findings from a pair of calculations featuring four plates in a 3 × 3 × 1 periodic Cartesian geometry model. In both calculations, plate velocities are determined dynamically in response to the stresses acting on the viscously defined lithosphere. In one case plate boundaries are held fixed, in the second dynamically determined plate evolution is enabled. In both cases, long lived mantle plumes are observed. Moreover, the locations of the plumes remain relatively fixed even as plates systematically evolve to a completely different arrangement from their initial configuration.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.018
GPT teacher head0.247
Teacher spread0.228 · 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 designSimulation or modeling
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
Published2008
Admission routes2
Has abstractyes

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