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Record W4412395844 · doi:10.1038/s41467-025-61598-0

Magmatic underplating and crustal intrusions accommodate extension during Red Sea continental rifting

2025· article· en· W4412395844 on OpenAlexaff
Alessio Sanfilippo, Marco Ligi, Riccardo Avanzinelli, Valentin Basch, Alessandro Bragagni, Alessandro Decarlis, Hervé Guillou, Sébastien Nomade, Najeeb Rasul, Luigi Vigliotti, Sandro Conticelli

Bibliographic record

VenueNature Communications · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
Topicearthquake and tectonic studies
Canadian institutionsGeological Survey of Canada
FundersUniversità degli Studi di PaviaMinistero dell’Istruzione, dell’Università e della Ricerca
KeywordsUnderplatingRiftGeologyExtension (predicate logic)Continental crustEarth sciencePaleontologyTectonicsSubductionComputer science

Abstract

fetched live from OpenAlex

Magmatism's role in continental rupture and ocean formation remains a critical question in Earth Sciences. The Red Sea, where Arabia is rifting from Nubia, offers an ideal setting to explore this process. This study analyses geochemical and isotopic data from gabbros and basaltic dikes in the Tihama Asir complex, formed during early Red Sea rifting (Late Oligocene). The results show that asthenospheric melts assimilated ancient lower crust before rising into shallow magma chambers with minimal upper crustal contamination. Rising asthenosphere driven by the Afar plume and by extensional stresses thermally weakened the lower crust, allowing it to decouple from the mantle, causing depth-dependent deformation. The generated asthenospheric melts underplated and intruded the thinning continental crust protracting continental rifting by re-thickening of the crust and accommodating extension. This study provides the evidence of tholeiitic underplating beneath thick continental crust during early rifting, substantially postponing the onset of seafloor spreading.

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 score0.011
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.268
Teacher spread0.252 · 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

Explore more

Same venueNature Communications→Same topicearthquake and tectonic studies→French-language works237,207→