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Record W2947110169 · doi:10.1111/1755-6724.13980

Ten years of research progress on the structure, <i>P–T</i> path and Fluid–Melt evolution of the deeply‐subducted UHP continental crust in the Sulu belt

2019· article· en· W2947110169 on OpenAlexaff
Lu Wang, Songjie Wang, Michael Brown, Bin Xia, Timothy Kusky, Ali Polat, Philip M. Piccoli, Tim Johnson

Bibliographic record

VenueActa Geologica Sinica - English Edition · 2019
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsSubductionGeologyCrustAdakiteContinental crustOceanic crustPath (computing)GeochemistrySeismologyTectonics

Abstract

fetched live from OpenAlex

Fundamental scientific questions about the tectonics of continental subduction during collisional orogenesis include: 1) the maximum depth from which the continental crust can be exhumed along the subduction channel, and 2) the evolution and role of fluid and melt in the deformation and metamorphism of the crust during burial and exhumation.To address these questions, we have studied one of the most deeply subducted slabs of continental crust to retrieve information about deformation and metamorphism at extreme pressures.In this presentation we summarize the results of our studies conducted during the past ten years from the Yangkou Bay-General's Hill area in the central Sulu belt.Here we have integrated structural mapping with microstructural, petrological, geochemical and geochronological studies on the most deeply-subducted (possibly >200 km [1] ) UHP metamorphic rocks in the Sulu belt.The rocks preserve evidence of fluid evolution from nominally anhydrous minerals and partial melting during exhumation.Our studies have led to a new understanding of the structural history, P-T-t path and melting of UHP rocks during continental subduction and exhumation associated with collisional orogenesis.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.014
GPT teacher head0.226
Teacher spread0.212 · 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
GenreReview

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

Citations1
Published2019
Admission routes1
Has abstractyes

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