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Record W1625213010 · doi:10.1063/1.2908931

Percolative model of the effect of disorder on the resistive peak broadening in La2∕3Ca1∕3MnO3 near the metal-insulator transition

2008· article· en· W1625213010 on OpenAlexaff
M. Egilmez, K. H. Chow, J. Jung

Bibliographic record

VenueApplied Physics Letters · 2008
Typearticle
Languageen
FieldMaterials Science
TopicMagnetic and transport properties of perovskites and related materials
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCondensed matter physicsElectrical resistivity and conductivityMetal–insulator transitionMaterials scienceFerromagnetismPercolation thresholdPercolation (cognitive psychology)Lattice (music)ParamagnetismMetalPhysicsMetallurgy

Abstract

fetched live from OpenAlex

The effect of the lattice disorder on the resistivity of La1−xCaxMnO3 (LCMO) near x=13 at the metal-insulator transition was studied by using a percolation model. The percolation model was applied to calculate the temperature dependence of the resistivity ρ(T) of the mixed state, where metallic ferromagnetic and insulating paramagnetic clusters simultaneously exist. The temperature dependence of the fraction of the metallic phase was obtained by assuming a Gaussian distribution of random transition temperatures, whose width increases with an increasing lattice disorder. The resistivity ρ(T) calculated from the model reproduces well the experimental ones for LCMO crystals and disordered films.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

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 communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.185
Teacher spread0.176 · 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 designSimulation or modeling
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

Citations33
Published2008
Admission routes1
Has abstractyes

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