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Record W2803771407 · doi:10.5382/econgeo.2018.4579

The Economic Geology of Scandium, the Runt of the Rare Earth Element Litter

2018· article· en· W2803771407 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEconomic Geology · 2018
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeochemistry and Elemental Analysis
Canadian institutionsMcGill University
Fundersnot available
KeywordsCitationIconScandiumDownloadLibrary sciencePhoenixComputer scienceGeologyArchaeologyWorld Wide WebHistoryChemistry

Abstract

fetched live from OpenAlex

Scandium is currently in high demand because of a number of technological advances in the aerospace and automotive sectors of the global economy.In this paper, we review the properties of scandium, the geology of the major economic and potentially economic scandium deposits and the processes that may concentrate scandium to exploitable levels.We also show that, although scandium is classified as a rare earth element (REE), it behaves very differently from the rest of its family.The reason for this is that it has an ionic radius very similar to that of iron and magnesium and consequently concentrates easily in major ferromagnesian rock-forming minerals, notably clinopyroxene.Unlike the other REE, it is therefore a compatible element.In many scandium deposits, clinopyroxene is the main ore mineral, although in some deposits, scandium is hosted by minerals that also concentrate the other REE.As is the case for these other REE, the main source of scandium is the mantle and the conveyors of scandium are alkaline igneous rocks (and carbonatites) including Alaskan-type ultramafic rocks.The main magmatic processes involved in scandium concentration are partial melting and fractional crystallization.We model the fractional crystallization of clinopyroxene to predict the scandium content of Alaskan-type ultramafic rocks, and use this information in conjunction with a simple model of fluid-assisted partial melting to explain the genesis of scandium-rich pegmatites.In addition to magmatic processes, aqueous fluids may play an important or even essential role in scandium ore formation.The lack of reliable high temperature thermodynamic data for the aqueous scandium species precludes modeling their transport in hydrothermal fluids.However, the availability of ambient temperature data allowed us to model scandium concentration by rainwater in laterite developed above an Alaskan-type ultramafic complex.This review is no more than an introduction to the economic geology of scandium and the processes that appear to be responsible for the genesis of scandium ores, but one, which we hope will provide a guide to future in-depth studies of scandium deposits and strategies for their successful exploration and exploitation.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.106
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0140.001

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 head0.005
GPT teacher head0.179
Teacher spread0.174 · 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