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Record W4411177288 · doi:10.1039/d5tc00653h

A mechanically robust, high electrically and low thermally conducting silicon oxycarbide ceramic composite by spark plasma sintering

2025· article· en· W4411177288 on OpenAlexafffund
Abhijit Biswas, Sudaice Kazibwe, Shuo Yang, Tymofii S. Pieshkov, Advaith V. Rau, Shreyasi Chattopadhyay, Kathy Lu, C. W. Chu, Tobin Filleter, Liangzi Deng, Pulickel M. Ajayan

Bibliographic record

VenueJournal of Materials Chemistry C · 2025
Typearticle
Languageen
FieldMaterials Science
TopicAdvanced ceramic materials synthesis
Canadian institutionsUniversity of TorontoUniversity of New Brunswick
FundersOffice of Naval ResearchTexas Center for Superconductivity, University of HoustonU.S. NavyU.S. Air ForceNatural Sciences and Engineering Research Council of CanadaT.L.L Temple FoundationAir Force Office of Scientific ResearchUniversity of Houston
KeywordsMaterials scienceSpark plasma sinteringCeramicComposite numberComposite materialSinteringCeramic compositeSiliconPlasmaOptoelectronics

Abstract

fetched live from OpenAlex

A silicon oxycarbide (SiOC) ceramic composite produced via a high-temperature spark plasma sintering process exhibits excellent mechanical robustness, high electrical conductivity, and low thermal conductivity, useful for various applications.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.004
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.227
Teacher spread0.217 · 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.

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

Citations2
Published2025
Admission routes2
Has abstractyes

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