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Record W4386135102 · doi:10.31223/x5r68b

Garnet zoning patterns record multiple processes of chemical transfer during subduction

2023· preprint· en· W4386135102 on OpenAlexfundno aff
Freya George, Daniel R. Viete, J Avila, Gareth Seward, George Guice, Mark B. Allen, Michael J. Harrower

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsnot available
FundersUniversity of California, Santa BarbaraFulbright AustraliaAustralian National UniversitySmithsonian InstitutionUS-UK Fulbright CommissionUniversity of OttawaGeological Society of LondonNational Science Foundation
KeywordsSubductionGeologyMetamorphic rockZoningIsotopes of oxygenGeochemistrySeismologyTectonicsLaw

Abstract

fetched live from OpenAlex

Subduction facilitates the transfer of volatiles from the Earth’s surface to its interior. However, the rock-scale processes that govern the efficiency of deep volatile transfer are not fully understood. Garnets from subduction zone rocks commonly have fine-scale, oscillatory elemental zoning that is typically considered to record external fluid ingress/transfer. Elemental and oxygen-isotope zoning in garnets from five exhumed subduction zone complexes show that in subduction zone rocks these records are not necessarily coupled; oxygen isotope evidence of ingress of buffering fluids, obvious only in rare cases, is decoupled from shorter length scale elemental and oxygen isotope zonings (which also show no coupling with each other). This finding suggests multiple mechanisms of internal chemical transfer operate at the grain and rock scale during subduction, and that rocks may commonly experience only limited interaction with external fluids. The results presented are consistent with a picture of volatile transfer in subduction that is spasmodic, highly localized, and variably efficient at evacuating fluids inherited from the surface then released by metamorphic dehydration.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
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 head0.047
GPT teacher head0.255
Teacher spread0.208 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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