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Record W4413041250 · doi:10.1148/ryct.240562

Hyperpolarized <sup>129</sup>Xe MRI and Spectroscopy: Quantitative Measurements, Results, and Emerging Opportunities

2025· review· en· W4413041250 on OpenAlexafffund
Jackie Liggins, Haad Bhutta, Sharon Dell, Janice M. Leung, Don D. Sin, Jonathon Leipsic, Jonathan H. Rayment, Rachel L. Eddy

Bibliographic record

VenueRadiology Cardiothoracic Imaging · 2025
Typereview
Languageen
FieldPhysics and Astronomy
TopicAtomic and Subatomic Physics Research
Canadian institutionsBC Children's HospitalSt. Paul's HospitalUniversity of British Columbia
FundersVertex PharmaceuticalsMichael Smith Health Research BCBC Children's HospitalNational Institutes of HealthCanadian Institutes of Health ResearchNational Heart, Lung, and Blood InstituteHeart and Stroke Foundation of CanadaAmerican Thoracic SocietyRegeneron PharmaceuticalsReseau canadien de recherche respiratoireSanofiAstraZeneca
KeywordsSpectroscopyNuclear magnetic resonancePhysicsMaterials scienceMedical physics

Abstract

fetched live from OpenAlex

Xenon 129 MRI and MR spectroscopy are safe, sensitive, and robust tools for measuring pulmonary ventilation, gas exchange, and microstructure, providing regional structure-function information for treatment planning and monitoring of disease progression and treatment response.

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)0.001
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.002

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 head0.078
GPT teacher head0.384
Teacher spread0.306 · 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
GenreReview

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

Citations1
Published2025
Admission routes2
Has abstractyes

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