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Record W2083365002 · doi:10.1039/c5ra03609g

Incorporation of cobalt ions into magnetoelectric gallium ferrite epitaxial films: tuning of conductivity and magnetization

2015· article· en· W2083365002 on OpenAlexaff
Seol Hee Oh, Ran Hee Shin, Christophe Lefèvre, Alexandre Thomasson, F. Roulland, Young‐Han Shin, Daijin Kim, J.-Y. Kim, Anna Demchenko, Cédric Leuvrey, C. Mény, William Jo, N. Viart

Bibliographic record

VenueRSC Advances · 2015
Typearticle
Languageen
FieldMaterials Science
TopicMultiferroics and related materials
Canadian institutionsCanadian Nautical Research Society
Fundersnot available
KeywordsFerrimagnetismMaterials scienceDopingIonEpitaxyMagnetizationCobaltFerrite (magnet)ConductivityGalliumCondensed matter physicsThin filmAnalytical Chemistry (journal)ChemistryMagnetic fieldOptoelectronicsNanotechnologyMetallurgyComposite materialPhysical chemistryPhysics

Abstract

fetched live from OpenAlex

Doping Ga0.6Fe1.4O3 thin films with magnetic Co <sup>2+</sup> ions leads to a strong reduction in the charge conduction and does not lead to any modification of the ferrimagnetic transition. This is absolutely comparable to that observed with Mg-doping.

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 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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.354

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.273
Teacher spread0.250 · 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 teacher head, 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

Citations11
Published2015
Admission routes1
Has abstractyes

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