MétaCan
Menu
Back to cohort
Record W1577845197 · doi:10.1002/9780470314821.ch22

Formation of an Alumina-Mullite Composite via Reaction Sintering

2008· book-chapter· en· W1577845197 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

VenueCeramic engineering and science proceedings · 2008
Typebook-chapter
Languageen
FieldMaterials Science
TopicAdvanced ceramic materials synthesis
Canadian institutionsTechnical University of Nova Scotia
Fundersnot available
KeywordsMulliteKyaniteComposite numberMaterials scienceSinteringRheologyDispersion (optics)Composite materialAluminium silicateMineralogyCeramicChemistryQuartz

Abstract

fetched live from OpenAlex

Naturally occurring kyanite (Al2O3 SiO2) thermally decomposes above 1400C to form mullite (3Al2O3 2SiO2) and free silica. By sintering in an alumina matrix, the silica may subsequently react to form additional mullite, thereby forming an inexpensive mullite-alumina composite. Techniques including pH aging, sedimentation, micro-electrophoresis and rheology were employed to optimize aqueous processing conditions. The most stable dispersion pH for kyanite/alumina suspensions containing up to 20 vol% kyanite was established to be 3.5. Composite green bodies were cast and sintered specimens examined mineralogically using electron probe microanalysis.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.032
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.010
GPT teacher head0.210
Teacher spread0.200 · 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