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Record W4389561892 · doi:10.7185/gold2023.18370

Chromite cluster formation within the Rum Layered Igneous Complex, NW Scotland: A multi-modal approach.

2023· article· en· W4389561892 on OpenAlexaff
Sammy Griffin, Matt Divers, Joshua F. Einsle, Marian B. Holness, Brian O’Driscoll

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsChromiteModalIgneous rockCluster (spacecraft)GeologyGeochemistryComputer scienceMaterials scienceComposite material

Abstract

fetched live from OpenAlex

The mechanism of chromite chain and cluster formation in igneous rocks is a highly debated topic (e.g., with wider relevance due to the tendency for chromite-rich cumulate to host economic concentrations of the critical platinum group metals. Recently, In the same study they showed, using the principles of physics, that the currently popular argument for in-situ nucleation and growth via a process involving 'heterogeneous self-nucleation' for these systems is implausible. Here we present multi-modal analysis (X-ray tomography, energy dispersive x-ray spectroscopy, and electron backscatter diffraction) of chromite chains and clusters from Units 7/8 and 10 peridotites, Rum Layered Suite, Scotland. Our data show the individual chromite grains within the clusters and chains exhibit random relationships to one another, in agreement with the results of This suggests either that the Unit 7/8 and 10 peridotite clusters formed by synneusis of rounded grains, or that they accumulated as single grains, forming a framework (chicken-wire texture:

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 score0.017
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.045
GPT teacher head0.246
Teacher spread0.201 · 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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