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Record W1529375358 · doi:10.1002/adem.201400084

Biopolymer‐Based Gel Casting of Ferroelectric Ceramics

2014· article· en· W1529375358 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

VenueAdvanced Engineering Materials · 2014
Typearticle
Languageen
FieldEngineering
TopicBone Tissue Engineering Materials
Canadian institutionsDefence Research and Development CanadaNova Scotia Department of Energy
Fundersnot available
KeywordsMaterials scienceFerroelectricityCeramicCastingTape castingMachiningHomogeneity (statistics)Aqueous suspensionSubtractive colorNanotechnologyAqueous solutionComposite materialMetallurgyComputer scienceOptoelectronicsOptics

Abstract

fetched live from OpenAlex

Ferroelectric ceramics have a wide range of industrial applications. While components can be formed through simple ‘press and sinter’ approaches, there is an increasing need for more flexible processing methods. Suspension based forming promotes greater homogeneity, through elimination of processing defects, and allows the formation of more complex shaped components. In the present work, the application of aqueous gel casting technologies is reviewed, and in particular the use of natural biopolymers as gelation aids for such approaches. Recent studies of the application of such technology to complex shape forming of BaTiO 3 ferroelectric ceramics are examined. Emphasis is placed upon a simple subtractive rapid prototyping method, utilizing aqueous gel casting in combination with green machining.

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 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 score0.314
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.004
GPT teacher head0.182
Teacher spread0.178 · 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