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Record W7117154507 · doi:10.1130/g54000.1

Melting the myth: Prograde garnet dissolves during early crustal melting

2025· article· en· W7117154507 on OpenAlexaff
Lucas Tesser, Pierre Lanari, Jacob B. Forshaw, Thorsten Markmann, Mathias Hueck, Benita Putlitz, Noralinde de Leijer, Cauê Rodrigues Cioffi, Miguel A.S. Basei, Carlos E. Ganade

Bibliographic record

VenueGeology · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsNanoMedicines Innovation Network
FundersInstituto SerrapilheiraFundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de JaneiroFundação de Amparo à Pesquisa do Estado de São PauloEuropean Commission
KeywordsSolidusPartial meltingMigmatiteOverprintingMetamorphic rockMetamorphismTitanite

Abstract

fetched live from OpenAlex

Abstract Garnet is widely thought to increase in stability and volume during prograde metamorphism and partial melting. Yet, whether early-formed subsolidus garnet persists or breaks down when melting begins remains an open question. Here, we integrate 3-D X-ray tomography with high-resolution major- and trace-element mapping of centrally sectioned garnets across a metapelitic metamorphic sequence to track their response from the subsolidus-suprasolidus transition to melting temperatures up to ~770 °C. Contrary to experimental and phase equilibrium predictions, garnet undergoes extensive dissolution at the onset of partial melting, losing >40% of its volume. Melt percolation creates internal cavity networks within garnet, connecting crystal interiors to the reactive matrix, markedly shortening intracrystalline diffusion pathways at the melt-crystal interface. This process leads to the consumption of garnet and results in major- and trace-element redistribution at temperatures too low for intracrystalline diffusion in larger grains. Our findings reconcile the long-standing discrepancy between predicted progressive garnet growth above the solidus and the scarcity of melt inclusions in garnet rims in migmatites and granulites. As partial melting begins, subsolidus garnet reacts and becomes a permeable heavy rare earth elements and yttrium (HREE-Y) reservoir in the residual 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 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 score0.021
Threshold uncertainty score0.998

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)0.0030.000

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 head0.006
GPT teacher head0.197
Teacher spread0.191 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

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