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Record W4402202359 · doi:10.3749/2300071

The Significance of Hypermagnesian Clinopyroxene in the Yanisvaara Ultrabasic Complex, Kola Peninsula, Russia

2024· article· en· W4402202359 on OpenAlexaff
A.Yu. Barkov, Andrey A. Nikiforov, Robert F. Martin, V. N. Korolyuk, Sergey A. Silyanov

Bibliographic record

VenueThe Canadian Journal of Mineralogy and Petrology · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeochemistry and Elemental Analysis
Canadian institutionsMcGill University
Fundersnot available
KeywordsUltramafic rockTremoliteGeochemistryGeologyMetamorphismOlivineKola peninsulaSilicateMineralogyChemistryMaterials science

Abstract

fetched live from OpenAlex

Abstract Two generations of hypermagnesian clinopyroxene [92 < Mg# < 98] are found in the Yanisvaara ultrabasic complex in the northwestern Lapland–Belomorian Belt, Kola Peninsula, Russia. Grains of a first generation (Wo47.3–50.7En46.5–49.4Fs2.5–3.5), 0.2–0.4 mm across, are attributed to a reaction in which tremolite + clinopyroxene replaced orthopyroxene. The second generation generally attains even more strongly magnesian compositions (Wo46.5–50.9En47.5–50.8Fs1.0–3.2). It is sporadically developed as submicrometric rim- or veinlet-like grains associated with tremolite and domains of fresh olivine with Mg# in the range 80.5–82.5 to 87.7–88.0. The later generation of clinopyroxene crystallized at elevated values of fO2 under closed-system autometasomatic conditions rather than during regional metamorphism. The compositions attained in three representative samples are highly magnesian, but characteristically poor in Cr compared to primary clinopyroxene. Compositions of the accompanying silicate, oxide, and sulfide minerals are provided. A novel Ni-Mn oxyspinel may be related to hausmannite. Yanisvaara and coeval subvolcanic komatiitic complexes are inferred to have degassed, which promoted the rapid rise in fO2 and indirectly promoted the buildup of Mg in the late clinopyroxene.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.506
Threshold uncertainty score0.972

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.015
GPT teacher head0.215
Teacher spread0.200 · 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 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

Citations3
Published2024
Admission routes1
Has abstractyes

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