Properties of CE/PPO/Hyperbranched Polysiloxane Grafting-SiO_2 Composites
Bibliographic record
Abstract
Composites of CE/PPO/HBP-SiO2and CE/PPO/nano-SiO2were prepared using CE modified by PPO as a matrix,and HBP-SiO2 and nano-SiO2 as fillers.Infrared spectroscopy confirmed that hyperbranched polysiloxane was grafted onto SiO2surface.Differential scanning calorimetry showed that HBP-SiO2and nano-SiO2 had catalytic effect on CE/PPO system,and could reduce the curing temperature.The addition of SiO2improved the mechanical properties of system,and the addition of HBP-SiO2showed a better effect than nano-SiO2.The dielectric constant of CE/PPO/HBP-SiO2composite was less than that of CE,CE/PPO,CE/PPO/nanoSiO2,and the dielectric loss factor was smaller than that of CE and CE/PPO,while higher than that of CE/PPO/nano-SiO2.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".