MétaCan
Menu
Back to cohort
Record W2321091595 · doi:10.1021/sc500255n

Development of Industrial Extractants into Functional Ionic Liquids for Environmentally Friendly Rare Earth Separation

2014· article· en· W2321091595 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueACS Sustainable Chemistry & Engineering · 2014
Typearticle
Languageen
FieldEngineering
TopicExtraction and Separation Processes
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSaponificationChemistryEnvironmentally friendlyIonic liquidExtraction (chemistry)YttriumBifunctionalNitric acidRare earthInorganic chemistryOrganic chemistryMineralogyCatalysis

Abstract

fetched live from OpenAlex

Rare earth elements (REEs) are critical materials in many cutting-edge technology products. Di(2-ethylhexyl)phosphate (HDEHP) and 2-ethyl(hexyl) phosphonic acid mono-2-ethylhexyl ester (HEH[EHP]) are the most commonly used industrial extractants in individual REE separation. However, acidic extractants, such as HDEHP and HEH[EHP], must be saponified for REEs separation, which often releases millions of tons of saponification wastewater into the environment annually. To develop effective and environmentally friendly extraction protocols for the REE separation industry, HDEHP and HEH[EHP] were prepared as acid–base coupling bifunctional ionic liquid extractants, and their extraction behavior and stripping properties for REEs were investigated.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.246
Threshold uncertainty score0.982

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)0.0000.000

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 head0.010
GPT teacher head0.216
Teacher spread0.206 · 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