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Record W2899286368 · doi:10.1002/9781119249740.ch7

Frayed Edges of Cratonic Mantle Keels

2018· other· en· W2899286368 on OpenAlexafffundabout
David W. Eaton, Xuewei Bao, C. Perry

Bibliographic record

VenueGeophysical monograph · 2018
Typeother
Languageen
FieldEarth and Planetary Sciences
TopicHigh-pressure geophysics and materials
Canadian institutionsNatural Resources CanadaUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCratonGeologyLithosphereAsthenosphereMantle (geology)KeelSeismogramGeophysicsLow-velocity zoneDownwellingSeismologyUpwellingTectonics

Abstract

fetched live from OpenAlex

Lithospheric mantle keels beneath cratons are substantially colder than the surrounding asthenosphere. If processes of delamination or thermochemical erosion create a new edge that abruptly juxtaposes internal parts of a cratonic keel with convecting upper mantle, the intact part of the keel will be heated along the edge by thermal diffusion. Sustained heating along a newly exposed edge will lead to a reduction in seismic-wave speed and density within a slowly expanding region of the lithospheric keel. Here, we combine thermal-diffusion modeling with mineral-physics relations to explore the predicted seismic expression of this process, as well as the potential for characterizing its time dependence. Examples are presented that are broadly representative of proposed models for the western edge of Laurentia beneath the Canadian Cordillera and the boundary between the Ordos Block and the eastern North China craton. Analysis of synthetic seismograms indicates that teleseismic body-wave delay times could be used to characterize an edge-proximal velocity reduction in order to provide an upper-bound estimate on time of formation of a craton edge.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.203
Teacher spread0.194 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations7
Published2018
Admission routes3
Has abstractyes

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