MétaCan
Menu
Back to cohort

The <scp>REE</scp> s in Hydrothermal Systems

2019· other· en· W2998046777 on OpenAlex
Artas Migdisov, Hongwu Xu, Anthony E. Williams‐Jones, Joël Brugger

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

VenueEncyclopedia of Water · 2019
Typeother
Languageen
FieldEngineering
TopicExtraction and Separation Processes
Canadian institutionsMcGill University
Fundersnot available
KeywordsHydrothermal circulationLanthanideAqueous solutionRare earthDeposition (geology)ChemistryEarth scienceGeochemistryEnvironmental scienceNanotechnologyChemical engineeringMineralogyGeologyMaterials scienceEngineeringPhysical chemistry

Abstract

fetched live from OpenAlex

Abstract Extensive use of the rare earth elements (REEs, mostly represented by the lanthanide group from La to Lu) in renewable energy applications and defense‐related technologies triggered high and growing interest to the processes responsible for migration, separation, and concentration of these elements in natural processes. Understanding these processes and the behavior of REEs in them is essential for exploration of new resources of these elements and efficient use of REEs in industrial applications. There is now an almost universal agreement that hot aqueous fluids play a significant and, in some cases, a dominant role in concentration and separation of REEs in nature. This article reviews high‐temperature experimental data collected over the past 15 years on the stability of the REE aqueous species and minerals and discusses the mechanisms responsible for hydrothermal transport and deposition of the REEs.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.004
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.204
Teacher spread0.199 · 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