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Record W4298086863

Volcanic fronts as a consequence of serpetinite dehydratation in the fore-arc mantle wedge.

2003· preprint· en· W4298086863 on OpenAlexaff
Kéiko Hattori, Stéphane Guillot

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2003
Typepreprint
Languageen
FieldEngineering
TopicMineral Processing and Grinding
Canadian institutionsCarleton University
Fundersnot available
KeywordsGeologyMantle wedgeWedge (geometry)Mantle (geology)VolcanoGeochemistryPetrologySeismologySubductionTectonicsOpticsPhysics
DOInot available

Abstract

fetched live from OpenAlex

Serpentinites exhumed from mantle wedges are enriched in elements that are mobile at low temperatures, such as As, Sb, Pb, and Sr, based on samples from the Himalayas and the Alps. Such data provide compelling evidence that these fluid-soluble elements were incorporated into the overlying fore-arc mantle wedge from the subducting slab. Thus, serpentinites in the fore-arc mantle act as a sink for water and fluid-soluble elements, insulating the overlying mantle from further hydration.. Downward movement of the serpentinite layer, facilitated by mantle flow, causes transport of these elements to deeper, hotter levels in the mantle. Eventual dehydration of these serpentinites discharges the fluid-soluble elements with water, leading to partial melting of the mantle wedge and accounting for the observed enrichment of these elements in magmas at the volcanic front.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.492
Threshold uncertainty score0.870

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
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 science0.0010.000
Research integrity0.0000.001
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 head0.013
GPT teacher head0.224
Teacher spread0.211 · 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 designSimulation or modeling
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

Citations0
Published2003
Admission routes1
Has abstractyes

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