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Record W4405439914 · doi:10.1130/g52772.1

Garnet growth in a geological blink of an eye

2024· article· en· W4405439914 on OpenAlexaff
Lorraine Tual, Matthijs Smit, Jamie Cutts, Kira Musiyachenko, Ellen Kooijman, Jarosław Majka, Ian G. Foulds, Alessandro Ielpi

Bibliographic record

VenueGeology · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsGeological Survey of CanadaNatural Resources CanadaUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsGeologyOptometryMedicine

Abstract

fetched live from OpenAlex

Abstract Mineral reactions determine the physical and rheological properties of rocks, but whether these reactions occur close to or far from equilibrium and whether they are continuous or pulsed is challenging to unravel. This introduces significant uncertainty in determining the thermomechanical properties and behavior of the crust and estimating the pressure and temperature conditions that rocks underwent during their tectonic history. Here, we employ elemental mapping and high-precision Lu-Hf chronology to investigate whether and to what extent garnet—one of the most important recorders of pressure, temperature, deformation, and time in the lithosphere—keeps up with tectonic processes. The analysis was done on a single 1.2-cm-sized garnet grain from a carbonate-rich mica schist from the Schneeberg Complex (Italy). Five compositionally distinct zones were identified and dated separately. The four inner zones, characterized by trace-elements oscillations, yielded identical ages with a weighted mean of 98.4 ± 0.1 Ma (2σ), whereas the outermost zone yielded 97.8 ± 0.3 Ma. During the first growth pulse, garnet grew at an average radial growth rate of at least 6.2 cm m.y.−1. Nucleation initiated out of equilibrium conditions and resulted in high fluid production that, in turn, boosted garnet growth, episodically limited by the rock's elements transport permeabilities. This pulsed, ultrafast garnet growth must have occurred over a very limited pressure-temperature window. This example provides a rare glimpse into the discontinuous nature of mineral reactions in metamorphic rocks and highlights garnet as a unique recorder of the processes that occur when such rocks push toward equilibrium.

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 score0.148
Threshold uncertainty score0.979

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)0.0220.000

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 head0.012
GPT teacher head0.217
Teacher spread0.205 · 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

Citations3
Published2024
Admission routes1
Has abstractyes

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