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Record W4286008292 · doi:10.21203/rs.3.rs-1838990/v1

Climatic control on the location of continental volcanic arcs

2022· preprint· en· W4286008292 on OpenAlexaff
Veleda Astarte Paiva Müller, Pietro Sternai, Christian Sue, Thibaud Simon-Labric, Pierre G. Valla

Bibliographic record

VenueResearch Square · 2022
Typepreprint
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsMusée de la Civilisation
FundersMinistero dell’Istruzione, dell’Università e della RicercaUniversità degli Studi di Milano-BicoccaAgence Nationale de la RechercheDipartimenti di EccellenzaUniversité Grenoble Alpes
KeywordsGeologyOrographyOrographic liftUpwellingVolcanoPlate tectonicsCenozoicErosionTectonicsCalderaVolcanic arcShield volcanoPrecipitationEarth scienceMagmaPaleontologyGeomorphologyOceanographySubductionGeographyStructural basinMeteorology

Abstract

fetched live from OpenAlex

Abstract Orogens and volcanic arcs at continental plate margins are primary surface expressions of convergent plate tectonics. Although it is established that climate affects the shape, size, and architecture of orogens via orographic erosion gradients, the crustal upwelling of magmas and location of volcanic arcs have been considered insensitive to erosion. However, available data reveal westward migration of late-Cenozoic volcanic activity in the Southern Andes and Cascade Range where orography drives an eastward migration of the topographic water divide by increased precipitation and erosion along west-facing slopes. Here we use thermomechanical numerical modeling to show that orographic erosion and leeward topographic shift may entail asymmetric crustal structures, driving magma upwelling toward the region of enhanced erosion. Considering the different tectonic histories between the Southern Andes and the Cascade Range, the orographic erosion gradient is a plausible shared causal mechanism behind the late-Cenozoic westward migration of the regional volcanic arcs.

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)0.001
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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0020.000

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 head0.050
GPT teacher head0.309
Teacher spread0.259 · 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

Citations2
Published2022
Admission routes1
Has abstractyes

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