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Record W2352215982

Seismic properties of eclogites:implications on crustal composition and exhumation mechanism of the Sulu ultrahigh-pressure metamorphic belt.

2005· article· en· W2352215982 on OpenAlexaff
Ji Shao, Bin Xia

Bibliographic record

VenueActa Petrologica Sinica · 2005
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geophysical Studies
Canadian institutionsBedford Institute of Oceanography
Fundersnot available
KeywordsEclogiteGeologyGneissGeochemistryGranuliteFelsicMaficPeridotiteCrustPetrologyMetamorphic rockTerraneSubductionContinental crustMantle (geology)SeismologyTectonicsGeomorphologyStructural basin
DOInot available

Abstract

fetched live from OpenAlex

Laboratory-derived P- and S-wave velocities for three types of eclogites are summarized. Combined with seismic properties of other lithologies, the results are helpful to interpret seismic data from the Dabie-Sulu orogenic belt. The interfaces between eclogites (high velocity and density) and almost all other lithologies such as felsic gneisses, marble, quartzite, amphibolite, mafic granulite, and serpentinized peridotite show large values of reflection coefficient ( 0. 1) and are thus able to produce strong seismic reflections. If crustal materials subducted and preserved in the lithospheric upper mantle as eclogites interlayered with felsic gneiss, garnet-jadeite quartzite, marble and serpentinized peridotite, they could be a good candidate for regional seismic reflections beneath orogenic belts, Based on a refraction profile in the Chinese Continental Scientific Drilling area, the crustal composition beneath the Sulu UHP belt is estimated to test different exhumation models of UHP rocks. Although eclogites are widely exposed in the surface and drill holes, they may not exit in the todays deep crust of the Sulu terrane, implying that these UHP rocks are tectonic slices that exhumed along a series of shear zones and finally thrust over an UHP-free middle-lower crust.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.641
Threshold uncertainty score0.320

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 head0.027
GPT teacher head0.201
Teacher spread0.174 · 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 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

Citations3
Published2005
Admission routes1
Has abstractyes

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