Preparation and Characterization of Plasticized Starch/Carbon Black-Oxide Nanocomposites
Bibliographic record
Abstract
The carbon black-oxide (CBO) particles were prepared by oxidizing carbon black (CB) in a modified Hummer’s method to improve the dispersion of CBO in water. The carboxylic acid, epoxide groups, and hydroxyl groups were formed in the resulting golden CBO particles, which in the size of about 30–50 nm were smaller than CB particles. And the dispersion of CBO particles was so good in distilled water that CBO particles in aqueous solution followed the Lambert–Beer’s law well. The nanocomposites were also prepared using CBO or CB particles as the fillers in glycerol-plasticized starch (GPS) matrix by the casting process. CBO fillers had good dispersion in GPS matrix and exhibited an obvious reinforcing effect. Both tensile strength and Youngs modulous of GPS/CBO composites were higher than GPS/CB composites. In views of the values of water vapor permeability (WVP), GPS/CBO composites exhibited better water resistance than GPS/CB composites.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".