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Record W2032267027 · doi:10.1002/cjce.5450800325

Removal of <sup>230</sup>Th by solvent extraction from high grade uranium ore liquid tailings to arrest <sup>226</sup>Ra production in the tailings

2002· article· en· W2032267027 on OpenAlexaffvenueabout
Inderjit Nirdosh

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2002
Typearticle
Languageen
FieldChemistry
TopicRadioactive element chemistry and processing
Canadian institutionsLakehead University
Fundersnot available
KeywordsTailingsUraniumThoriumAmmonium carbonateDiluentExtraction (chemistry)ChemistrySolvent extractionLeachateKeroseneCarbonateNuclear chemistryAmmoniumRadiochemistryWaste managementEnvironmental chemistryMetallurgyMaterials scienceChromatography

Abstract

fetched live from OpenAlex

Abstract Primene JM‐T, D2EHPA and TBP were used as solvents to extract 230 Th from sulphuric acid uranium leachate and barren solutions from a Saskatchewan, Canada uranium mill. This was done with the objective of eliminating the source for 226 Ra production in the tailings in perpetuity. A 0.1 vol% Primene JM‐T, 5 vol% isodecanol (modifier), and kerosene diluent mixture was found to completely remove thorium from the solutions. The thorium was stripped from the loaded organic with a 15 wt% ammonium carbonate solution.

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)0.000
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 score0.046
Threshold uncertainty score0.951

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 science0.0010.000
Research integrity0.0000.001
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 head0.011
GPT teacher head0.206
Teacher spread0.195 · 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 designBench or experimental
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

Citations2
Published2002
Admission routes3
Has abstractyes

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