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Record W4367284478 · doi:10.1021/cen-10001-buscon1

<sup>3</sup>He availability to increase with new supply deal

2022· article· en· W4367284478 on OpenAlexaboutno aff
Craig Bettenhausen

Bibliographic record

VenueC&EN Global Enterprise · 2022
Typearticle
Languageen
FieldEngineering
TopicSuperconducting Materials and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsCryogenicsNuclear powerLiquid heliumProduct (mathematics)HeliumNuclear engineeringPhysicsNuclear physicsEngineeringAtomic physicsMathematics

Abstract

fetched live from OpenAlex

The industrial gas giant Air Liquide has signed a long-term agreement to purchase helium-3 from a Canadian nuclear power firm. The arrangement creates the first significant private supply of the ultrarare gas, a light isotope of helium used in deep cryogenics, nuclear science, and quantum computing. Air Liquide will take 3 He that Laurentis Energy Partners extracts from a nuclear power by-product, further purify it, and package it for sale. Jennifer Chapin, director of projects at Laurentis, says the initial output will be between 5,000 and 10,000 L per year. “This really does present a shift in terms of market availability,” she says. Though the gas can be used for medical imaging and other nuclear science, Patrick Wikus, a cryogenics expert at the scientific instrument maker Bruker, expects most of the new supply to be employed in quantum computing, which requires operating temperatures near 0 K. Conventional liquid 4 He

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)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.298
Threshold uncertainty score0.998

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0050.005
Open science0.0010.001
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.2980.127

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 head0.008
GPT teacher head0.217
Teacher spread0.210 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations0
Published2022
Admission routes1
Has abstractyes

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