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Record W7046273134

Development and characterization of commercial boron nitride nanotube product forms

2017· article· en· W7046273134 on OpenAlexafffundvenueabout

Bibliographic record

VenueNPARC · 2017
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsNational Research Council Canada
FundersNational Research Council Canada
KeywordsBoron nitrideCharacterization (materials science)Carbon nanotubeNanomaterialsThermal stabilityCarbon fibersBuckypaperBoron
DOInot available

Abstract

fetched live from OpenAlex

Boron nitride nanotubes (BNNTs) are structurally analogous to carbon nanotubes (CNTs) and possess equally impressive mechanical properties along with a different set of multifunctional properties including higher thermal stability than CNTs, wide band gap, electrical insulation, polarizability, high neutron absorption cross-section, and transparency in the visible region. Advances in large-scale BNNT production in recent years, including the hydrogen-assisted BNNT synthesis (HABS) process at NRC Canada, are now enabling broader availability of BNNT-based materials for research and applications. For example, a commercial product (Tekna BNNT-R) derived from the “raw” BNNT produced via the HABS process was released in 2015 and was followed quickly, in 2016, by purified (BNNT-P) and buckypaper (BNNT-BP) product forms. Reliable characterization of these materials, in particular the composition, purity, and quality of BNNTs is critical to build the user base for such nanomaterials products, as was the case for carbon nanotubes, and enable evaluation and comparison of studies using BNNT materials.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.660
Threshold uncertainty score0.986

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0150.000

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 head0.018
GPT teacher head0.264
Teacher spread0.246 · 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 designOther design
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

Citations4
Published2017
Admission routes4
Has abstractyes

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