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Record W2999893355 · doi:10.1039/c9ta11878k

Exploring Ni(Mn<sub>1/3</sub>Cr<sub>2/3</sub>)<sub>2</sub>O<sub>4</sub> spinel-based electrodes for solid oxide cells

2020· article· en· W2999893355 on OpenAlexaff
Nanqi Duan, Min‐Rui Gao, Bin Hua, Meng Li, Bo Chi, Jian Li, Jing‐Li Luo

Bibliographic record

VenueJournal of Materials Chemistry A · 2020
Typearticle
Languageen
FieldMaterials Science
TopicAdvancements in Solid Oxide Fuel Cells
Canadian institutionsAlberta Hospital EdmontonUniversity of Alberta
FundersNational Natural Science Foundation of China
KeywordsSpinelOxideMaterials scienceSolid solutionElectrolysisSolid oxide fuel cellCobaltAlkaline earth metalElectrodeCobalt oxideInorganic chemistryAnalytical Chemistry (journal)Fuel cellsChemistryChemical engineeringMetalPhysical chemistryMetallurgyElectrolyte

Abstract

fetched live from OpenAlex

The alkaline earth element- and cobalt-free Ni(Mn <sub>1/3</sub> Cr <sub>2/3</sub> ) <sub>2</sub> O <sub>4</sub> spinel is used to form composite electrodes with an oxygen ion conductive phase for symmetrical solid oxide cells, and applied successfully in both solid oxide fuel cell and solid oxide electrolysis cell modes.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesMeta-epidemiology (narrow)
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 score0.003
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0010.001
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 head0.039
GPT teacher head0.257
Teacher spread0.218 · 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; both teacher heads agree on what is shown here.

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

Citations45
Published2020
Admission routes1
Has abstractyes

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