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Record W7092634085 · doi:10.1029/2025tc009070

Morphometric Evidence for Cenozoic Intraplate Reactivation in NW Uruguay

2025· article· en· W7092634085 on OpenAlexafffund

Bibliographic record

VenueTectonics · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsIntraplate earthquakeTectonicsRiftBasementCenozoicFault (geology)ProterozoicSinistral and dextral

Abstract

fetched live from OpenAlex

Abstract Located in eastern South America, Uruguay has been considered tectonically inactive since rifting in the Late Cretaceous. Here, we use a high‐resolution digital elevation model and field observations to investigate the presence of recent tectonic activity in the Basaltic Plateau, northwest Uruguay. Based on topographic, drainage network and field‐based data, we identify evidence for long‐lasting, and potentially Quaternary tectonic deformation, including fault breccia, scarps, and offset channels, suggesting strike‐slip and normal faulting. The orientation and spatial pattern of this deformation aligns closely with inherited structures, particularly Proterozoic and Mesozoic fault zones. Our results suggest that reactivation of ancient basement structures has localized recent deformation, highlighting the importance of tectonic inheritance in controlling deformation in intraplate regions, considered otherwise tectonically “inactive.” The detection of subtle, recent deformation in Uruguay is only possible because of high‐resolution topographic data, underscoring the role of modern remote sensing tools in assessing tectonic activity in presumed stable regions. Lastly, this study highlights the need to reassess intraplate landscapes for signs of recent deformation, particularly in regions underlain by major basement structures that may act as zones of weakness, facilitating deformation even under low differential stress.

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)0.001
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 score0.191
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
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 head0.038
GPT teacher head0.271
Teacher spread0.233 · 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

Citations1
Published2025
Admission routes2
Has abstractyes

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