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Record W3186616952 · doi:10.1126/science.abb0272

Multicomponent superconducting order parameter in UTe <sub>2</sub>

2021· article· en· W3186616952 on OpenAlexaff
Ian Hayes, Di Wei, Tristin Metz, Jian Zhang, Yun Suk Eo, Sheng Ran, Shanta Saha, John Collini, Nicholas P. Butch, D. F. Agterberg, A. Kapitulnik, Johnpierre Paglione

Bibliographic record

VenueScience · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicRare-earth and actinide compounds
Canadian institutionsCanadian Institute for Advanced Research
FundersMaryland Quantum Materials CenterAir Force Office of Scientific ResearchNational Institute of Standards and TechnologyStanford UniversityGordon and Betty Moore FoundationU.S. Department of EnergyNational Science Foundation
KeywordsSuperconductivityCondensed matter physicsPhysicsSymmetry (geometry)Homogeneous spaceTopology (electrical circuits)ParamagnetismMagnetismOrder (exchange)Mathematics

Abstract

fetched live from OpenAlex

Constraining symmetry Most superconductors have only one transition point, and below a certain temperature, their electrical resistance drops to zero. In very rare cases, another superconducting transition appears at a lower temperature. By measuring its specific heat, Hayes et al . reveal that this two-step superconductivity occurs in the compound uranium ditelluride. Complementary optical measurements indicated the breaking of time reversal symmetry, constraining the possible symmetries of the order parameter in this material. —JS

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.017
GPT teacher head0.258
Teacher spread0.241 · 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

Citations177
Published2021
Admission routes1
Has abstractyes

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