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Record W1907408677 · doi:10.1039/b403143a

Preventing uranium hydride formation in standard uranium samples for determination of<sup>239</sup>Pu by ICP-MS

2004· article· en· W1907408677 on OpenAlexafffund
Vladimir Vais, Chunsheng Li, Jack Cornett

Bibliographic record

VenueJournal of Analytical Atomic Spectrometry · 2004
Typearticle
Languageen
FieldEnvironmental Science
TopicRadioactive contamination and transfer
Canadian institutionsHealth Canada
FundersHealth Canada
KeywordsUraniumChemistryIsotopes of uraniumDeuteriumRadiochemistryHydrideUranium-238Analytical Chemistry (journal)HydrogenUranium-235Detection limitIsotopeEnriched uraniumNuclear chemistryNuclear physicsNeutronChromatographyNeutron temperaturePhysics

Abstract

fetched live from OpenAlex

UH+ interference poses considerable difficulties for the determination of 239Pu in samples with high uranium content. A new approach for reducing this interference was developed. Substitution of water with heavy water (D2O) as a solvent in uranium standard solution eliminated the major source of UH+ ions and reduced the UH+/U+ ratio from a typical value of 1.33 × 10−5 to a very low value of 2.60 × 10−7. The method allows the determination of low levels of 239Pu in samples containing 106 fold excess of uranium. The detection limit for 239Pu in a sample containing 10 ppm of uranium was determined as 0.58 ± 0.03 ppt. A kinetic isotope effect of ca. 1.4 was observed for the reaction of U+ with hydrogen (H) compared with the reaction with deuterium (D). The magnitude of this effect is in agreement with the value calculated based on the collision theory.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.010
GPT teacher head0.252
Teacher spread0.242 · 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 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

Citations20
Published2004
Admission routes2
Has abstractyes

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