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Record W2896120399 · doi:10.1073/pnas.1808056115

Disorder induced power-law gaps in an insulator–metal Mott transition

2018· article· en· W2896120399 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Condensed Matter Physics
Canadian institutionsCanadian Light Source (Canada)University of Toronto
FundersDivision of Materials ResearchCanadian Institutes of Health ResearchGordon and Betty Moore Foundation
KeywordsCondensed matter physicsAntiferromagnetismPhysicsSuperconductivityOrder (exchange)Mott insulatorPower lawMathematics

Abstract

fetched live from OpenAlex

Significance Correlated electron systems often show unexpected behavior that defies theoretical explanations. One such mystery is the universal presence of V-shaped gaps with surprisingly linear energy dependence, whose origins are as-yet unknown. Conventional wisdom implicates static order like charge density waves or fluctuations of a nearby order parameter like superconductivity or antiferromagnetism. However, adding dopants to correlated systems inevitably leads to the opposite of order—i.e., electronic disorder—which begs the question: Could disorder create well-defined signatures in electronic properties? By carefully choosing a material with no additional order, we show that order is not the only path to gaps and that disorder may play a surprising role in generating universal signatures in the density of states of disordered correlated systems.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.184
Threshold uncertainty score0.256

Codex and Gemma teacher scores by category

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

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 head0.024
GPT teacher head0.304
Teacher spread0.280 · 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