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Record W4320022463 · doi:10.21468/scipost.report.5772

Report on 2203.07365v2

2022· peer-review· en· W4320022463 on OpenAlexafffund
Hyeok-Jun Yang, Hee Seung Kim, Min Yong Jeong, Yong Baek Kim, Myung Joon Han, SungBin Lee

Bibliographic record

Venuenot available
Typepeer-review
Languageen
FieldPhysics and Astronomy
TopicTopological Materials and Phenomena
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaMinistry of Science and ICT, South KoreaKorea Advanced Institute of Science and TechnologyNational Research Foundation of KoreaUniversity of TorontoNational Research Foundation
KeywordsArt

Abstract

fetched live from OpenAlex

The nature of superconductivity in newly discovered Kagome materials, AV 3 Sb 5 (A=K, Rb, Cs), has been a subject of intense debate.Recent experiments suggest the presence of orbital current order on top of the charge density wave (CDW) and superconductivity.Since the orbital current order breaks time-reversal symmetry, it may fundamentally affect possible superconducting states.In this work, we investigate the mutual influence between the orbital current order and superconductivity in Kagome metal with characteristic van Hove singularity (vHS).By explicitly deriving the Landau-Ginzburg theory, we classify possible orbital current order and superconductivity.It turns out that distinct unconventional superconductivities are expected, depending on the orbital current ordering types.Thus, this information can be used to infer the superconducting order parameter when the orbital current order is identified and vice versa.We also discuss possible experiments that may distinguish such superconducting states coexisting with the orbital current order.

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 categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.999
Threshold uncertainty score0.181

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0040.001
Open science0.0020.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.8730.844

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 head0.034
GPT teacher head0.309
Teacher spread0.276 · 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.

Study designNot applicable
DomainEvaluation
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 routes2
Has abstractyes

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