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Record W4411360918 · doi:10.1016/j.epsl.2025.119488

Carbonation and deformation of oceanic serpentinites in the Elba subduction channel: Evidence for fluid–rock interaction at seismogenic depth

2025· article· en· W4411360918 on OpenAlexaff
Samuele Papeschi, Roberto Rizzo, Andrea Rielli, Matthew S. Tarling, Vanni Moggi Cecchi, Elena Pecchioni, Chiara Boschi, Keishi Okazaki, Takehiro Hirose, P. Vannucchi

Bibliographic record

VenueEarth and Planetary Science Letters · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsUniversity of British Columbia
FundersJapan Agency for Marine-Earth Science and TechnologyJapan Society for the Promotion of ScienceCenter for Neuroscience ResearchUniversità degli Studi di Firenze
KeywordsGeologySubductionDeformation (meteorology)Channel (broadcasting)GeochemistryPetrologySeismologyOceanographyTectonics

Abstract

fetched live from OpenAlex

We present a multi-disciplinary investigation of the deformation and carbonation history of oceanic serpentinites involved in the plate interface of the Cretaceous-Eocene subduction complex exposed in the Elba Island —an exceptionally well-preserved example of oceanic subduction system. Using an integrated set of structural, petrographic, and geochemical analyses, we document antigorite growth and carbonation of oceanic serpentinites in the Elba subduction channel at shallow-intermediate depths (<22-26 km; P <0.6-0.7 GPa). Carbonation was associated with brecciation and shearing that produced a complex of tectonic slices (Norsi area) and a tectonic mélange (Cavo area). The carbonation process was likely triggered by the release of CO 2 -rich fluids from subducting oceanic serpentinites and ophicarbonate rocks, as indicated by C and O isotopes. The ingress of external CO 2 in shear zones likely ignited a positive feedback between deformation, carbonation, and fluid flow, promoting talc formation and leading to strain localization at the plate interface. The Elba subduction channel offers a unique window on the evolution of subduction systems at low pressure, highlighting the importance of fluid-induced reactions in controlling deformation style.

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)0.000
metaresearch head score (Gemma)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.226
Teacher spread0.206 · 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
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

Citations4
Published2025
Admission routes1
Has abstractyes

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