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Record W4407793356 · doi:10.1038/s43247-025-02125-3

Dehydration-induced supralithostatic fluid overpressure in metapelites from Northern Korea

2025· article· en· W4407793356 on OpenAlexaff
Yi Zou, Xu Chu, Ross N. Mitchell, Qiuli Li, Lei Zhao, Yanwen Tang, Jinghui Guo, Mingguo Zhai

Bibliographic record

VenueCommunications Earth & Environment · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsUniversity of Toronto
FundersNational Key Research and Development Program of ChinaNational Natural Science Foundation of China
KeywordsOverpressureGeologyDehydrationGeochemistryChemistry

Abstract

fetched live from OpenAlex

Orogenic reconstructions typically assume lithostatic pressure, which can be converted into burial depth. Deviations from lithostatic conditions, such as fluid overpressure, are recognized but poorly understood in natural rocks. Here we integrate petrological analysis, radiometric dating, and diffusion chronology to explore the thermal overprinting on metapelites from a Precambrian orogen caused by ca. 110 Ma porphyritic intrusions in Northern Korea. The dissolution-reprecipitation textures of garnet and monazite from the metapelites reveal rapid heating, dehydration, and reworking within ~300 years, reaching 600‒640 °C and 0.75‒0.85 GPa at ca. 110 Ma. The barometric results indicate depths that, if lithostatic, sharply contrast with the shallow emplacement of the contemporaneous porphyries nearby, indicating dehydration-induced supralithostatic fluid overpressure. These findings challenge the lithostatic paradigm and suggest that rapid dehydration and deviation from lithostatic pressures may be more prevalent than previously recognized, with important implications for orogenic reconstructions and seismogenic behaviors at plate boundaries. Rapid dehydration and garnet growth can induce supralithostatic fluid overpressure with important implications for tectonic reconstructions and seismic behaviors, according to thermobarometry and geochronology data from Proterozoic metapelites from Northern Korea.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.996

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.017
GPT teacher head0.216
Teacher spread0.199 · 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 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

Citations10
Published2025
Admission routes1
Has abstractyes

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