Development and characterization of commercial boron nitride nanotube product forms
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".