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Processing and Characterization of Oxygen Sensors Prepared From Freeze‐Dried Calcia‐Stabilized Zirconia Powders

2006· article· en· W2008573197 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.

Bibliographic record

VenueInternational Journal of Applied Ceramic Technology · 2006
Typearticle
Languageen
FieldMaterials Science
TopicAdvancements in Solid Oxide Fuel Cells
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsMaterials scienceMicrostructureCalcinationCubic zirconiaScanning electron microscopeOxygen sensorChemical engineeringOxygenElectrolyteSinteringCharacterization (materials science)Fast ion conductorTexture (cosmology)PressingPhase (matter)MetallurgyComposite materialNanotechnologyElectrodeCeramicCatalysisPhysical chemistry

Abstract

fetched live from OpenAlex

Precursor powders of 15 and 22 mol% calcia‐stabilized zirconia solid electrolytes were synthesized by a freeze‐drying method and calcined at 900°C. Sensor elements were fabricated via uniaxial pressing of the calcined powders and subsequently sintered at 1650°C. X‐ray diffraction and scanning electron microscopy techniques were used to analyze the phase composition and microstructure. The electrical response of the gas sensors to oxygen and the complex impedance in air were investigated at various operating temperatures. The correlation between electrical properties and sensor material chemical compositions as well as microstructure is discussed.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.627

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 science0.0010.000
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 head0.005
GPT teacher head0.240
Teacher spread0.235 · 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