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Record W2037040278 · doi:10.1130/g21963.1

Surface erosion control on the evolution of the deep lithosphere

2006· article· en· W2037040278 on OpenAlexaffabout
R. N. Pysklywec

Bibliographic record

VenueGeology · 2006
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicHigh-pressure geophysics and materials
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLithosphereGeologyCitationIconCrustMateriality (auditing)Earth scienceLibrary scienceTectonicsPaleontologyComputer science

Abstract

fetched live from OpenAlex

Research Article| April 01, 2006 Surface erosion control on the evolution of the deep lithosphere Russell N. Pysklywec Russell N. Pysklywec 1Department of Geology, University of Toronto, Toronto, Ontario M5S 3B1, Canada Search for other works by this author on: GSW Google Scholar Author and Article Information Russell N. Pysklywec 1Department of Geology, University of Toronto, Toronto, Ontario M5S 3B1, Canada Publisher: Geological Society of America Received: 26 Jun 2005 Revision Received: 07 Nov 2005 Accepted: 16 Nov 2005 First Online: 09 Mar 2017 Online ISSN: 1943-2682 Print ISSN: 0091-7613 Geological Society of America Geology (2006) 34 (4): 225–228. https://doi.org/10.1130/G21963.1 Article history Received: 26 Jun 2005 Revision Received: 07 Nov 2005 Accepted: 16 Nov 2005 First Online: 09 Mar 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation Russell N. Pysklywec; Surface erosion control on the evolution of the deep lithosphere. Geology 2006;; 34 (4): 225–228. doi: https://doi.org/10.1130/G21963.1 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyGeology Search Advanced Search Abstract Thermal-mechanical numerical experiments are used to consider if the influence of surface erosion during continental plate collision and orogenesis extends beneath the crust into the mantle lithosphere. The models demonstrate that the modification of crustal mass flux by surface denudation can change the evolution of the deforming crust and consequently alter the behavior of the crust-mantle interface. The mantle lithosphere responds to these variable dynamics: with active surface erosion, stable subduction-like plate consumption is maintained; in the absence of erosion, subduction is inhibited by accumulating crust, causing the convergent plates to steepen dip, detach, and reverse consumption polarity. With strong subducting plates, the removal of surface processes can trigger a transition from stable subduction to delamination and/or retreat of the convergent plate. The influence of surface erosion is less important for mantle lithosphere undergoing Rayleigh-Taylor–type dripping and is not significant at ocean plate collision, where there is relatively little buoyant crust to clog the subduction zone. The results of the experiments demonstrate that in certain tectonic regimes the influence of climate-controlled surface processes may reach much deeper into the lithosphere than has previously been appreciated. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.012
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

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 communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.004
GPT teacher head0.168
Teacher spread0.164 · 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 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

Citations87
Published2006
Admission routes2
Has abstractyes

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