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Kinetic Study of Amorphous Yttria‐Alumina Fibers Using Differential Thermal Analysis

2003· article· en· W2099180153 on OpenAlexaff
Ena Athenea Aguilar Reyes, R. A. L. Drew

Bibliographic record

VenueJournal of the American Ceramic Society · 2003
Typearticle
Languageen
FieldMaterials Science
TopicGlass properties and applications
Canadian institutionsMcGill University
Fundersnot available
KeywordsDifferential thermal analysisCrystallizationMaterials scienceAmorphous solidThermal analysisYttria-stabilized zirconiaActivation energyRodCeramicPhase (matter)ThermalAnalytical Chemistry (journal)MineralogyChemical engineeringThermodynamicsComposite materialCrystallographyChemistryOpticsDiffractionPhysical chemistryCubic zirconiaChromatography

Abstract

fetched live from OpenAlex

Differential thermal analysis (DTA) was used to study the crystallization phenomena in Y 2 O 3 ‐Al 2 O 3 fibers formed via a melt extraction process. Such fibers are X‐ray amorphous and optically transparent regardless of composition in the as‐extracted state but can be crystallized to produce various equilibrium phases that depend on the original composition of the ceramic rods used in the extraction process. The activation energy values were calculated using Kissinger and Augis‐Bennett equations by measuring the variation of the peak temperature in the differential thermal patterns with heating rate. X‐ray diffractometry analysis was used to determine the phase formation in the fibers crystallized after the DTA scan.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.711
Threshold uncertainty score0.286

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
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 head0.020
GPT teacher head0.263
Teacher spread0.244 · 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

Citations9
Published2003
Admission routes1
Has abstractyes

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