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Record W4412453257 · doi:10.5802/crgeos.299

The metabasalts from the greenstone belt of the Lebzenia group in the Tasiast complex, Mauritania, and their geodynamic implications

2025· article· en· W4412453257 on OpenAlexaff
Mohamed El Abd Bouha, Houssa Ouali, Michel Jébrak, Zein El Arby

Bibliographic record

VenueComptes Rendus Géoscience · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsGreenstone beltGroup (periodic table)GeologyGeochemistryChemistryArchean

Abstract

fetched live from OpenAlex

Samples of metabasalts collected from the Lebzenia Group, located in the Tasiast region of Mauritania, reveal a complex geochemical signature that highlights magmatic processes related to tectonically active environments. The analyses show low concentrations of incompatible elements such as Nb, TiO 2 , and P 2 O 5 , combined with marked negative anomalies in Nb, Ta, and Ti. These characteristics, along with an enrichment of light rare earth elements (LREE) and Th, are typical of a transitional calc-alkaline affinity commonly associated with volcanic arcs. The high Th/Nb ratios, as well as the presence of specific geochemical anomalies, suggest an interaction between an enriched mantle source and a modified continental crust. This interaction reflects partial mantle melting processes at significant depths, influenced by crustal materials or fluids from intense tectonic activity. Samples such as DRAM7 and DRAM8 show a transitional calc-alkaline affinity while exhibiting similarities to tholeiitic basalts of mantle origin. These geochemical data shed light on the diversity and complexity of the tectonomagmatic processes that contributed to the formation of the Lebzenia Group. This study enhances the understanding of the geodynamic evolution of the Tasiast region and its role in crustal growth processes during the Archaean, emphasising the contribution of mantle–crust interactions in magma genesis.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.060
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.211
Teacher spread0.196 · 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.

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

Citations1
Published2025
Admission routes1
Has abstractyes

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