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Record W2955561921 · doi:10.1029/2019gc008385

Spurious Transitions in Convective Regime Due to Viscosity Clipping: Ramifications for Modeling Planetary Secular Cooling

2019· article· en· W2955561921 on OpenAlexafffund
Joshua Guerrero, J. P. Lowman, Paul Tackley

Bibliographic record

VenueGeochemistry Geophysics Geosystems · 2019
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicHigh-pressure geophysics and materials
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Toronto
KeywordsConvectionMantle convectionViscosityMechanicsGeophysicsMantle (geology)Convective heat transferThermodynamicsThermalGeologyPhysicsLithosphere

Abstract

fetched live from OpenAlex

Abstract The thermal evolution of a solid planet is governed by mantle convection and therefore the dependence of viscosity on temperature. In this study, over a span of five billion years, we investigate the effect of viscosity clipping (i.e., limiting the maximum value of the viscosity) on the thermal evolution of lunar‐sized initially hot bodies featuring decaying internal heat sources. Models with a decreasing viscosity contrast resulting from limiting the maximum viscosity to 10 5.5 times the initial viscosity at the core‐mantle boundary were first examined. At times determined by the initial internal heating rate, rapid cooling sets in as a result of a convective regime change from stagnant‐lid to mobile‐lid convection, followed by gradual cooling to a weakly convecting and eventually nearly conductive state. Subsequently, we employ a dynamic clipping viscosity of 10 5.5 times the viscosity at the core‐mantle boundary, throughout the planet's evolution. In this case, stagnant‐lid convection is the only convective regime observed. Finally, convection with an initially large viscosity contrast (10 10 ) is modeled in both 2‐D and 3‐D spherical geometry, and we find strong agreement in the thermal evolution when compared with the dynamic clipping model. Our findings show that convective regime changes due to secular cooling can occur due to implementing a fixed viscosity contrast that becomes subcritical with respect to obtaining a stagnant lid. To avoid spurious convective regime changes, the specification of a dynamic clipping viscosity can be used to emulate much higher viscosity contrasts.

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 categoriesMeta-epidemiology (narrow)
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 score0.127
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.010
GPT teacher head0.208
Teacher spread0.198 · 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 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

Citations4
Published2019
Admission routes2
Has abstractyes

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