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Record W4366824450 · doi:10.7185/geochemlet.2313

Geobarometric evidence for a LM/TZ origin of CaSiO3 in a sublithospheric diamond

2023· article· en· W4366824450 on OpenAlexaff
P.-T. Genzel, M.G. Pamato, Davide Novella, L. Santello, S. Lorenzon, S.B. Shirey, D.G. Pearson, F. Nestola, F.E. Brenker

Bibliographic record

VenueGeochemical Perspectives Letters · 2023
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsUniversity of Alberta
FundersDeutsche Forschungsgemeinschaft
KeywordsDiamondPhysicsChemistryMaterials scienceComposite material

Abstract

fetched live from OpenAlex

Breyite is the second most abundant mineral inclusion in super-deep diamonds after ferropericlase.Though breyite stability extends to 300 km along typical mantle geotherm, this phase is often assumed to be the product of retrograde transformation of CaSiO 3 -perovskite, and thus has the potential to retain information from as deep as 800-1000 km.In this study, we determined the depth of formation of a breyite inclusion still enclosed in its host diamond from Juîna, Brazil, by X-ray diffraction.The measured >5 % smaller unit cell for breyite indicates a stored residual pressure showing that the breyite was entrapped between about 9(1) and 10(1) GPa.These are the highest estimates of formation pressure ever determined for a breyite inclusion.For ambient mantle temperatures higher than 1400-1500 °C, these pressures would exceed the maximum P of the breyite stability field.Breyite in this diamond cannot be primary but is rather a backtransformation product from CaSiO 3 -perovskite formed in the transition zone or the lower mantle.The co-existence magnesite in diamond JU55 and the slabassociation of sublithospheric diamonds is evidence of carbon transport to lower mantle depths.

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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.048
GPT teacher head0.274
Teacher spread0.227 · 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

Citations8
Published2023
Admission routes1
Has abstractyes

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