Design and syntheses of functional carbon dioxide-based polycarbonates via ternary copolymerization
Bibliographic record
Abstract
Carbon dioxide (CO2) is an important heat-trapping gas, or greenhouse gas, that comes from the extraction and burning of fossil fuels. On the other hand, plastic is widely used for making various products, such as medical devices and packaging bags, but it causes pollution that damages human health and the environment. Therefore, biodegradable plastic materials synthesized by using CO2 is one of the most desirable alternatives of traditional non-biodegradable plastic materials to alleviate anthropogenic CO2 and non-degradable plastic pollution. Particularly, CO2-based poly(propylene carbonate) (PPC) has received increasing attention owing to its good functionalization modification advantages and its potential in the large-scale utilization of CO2. We review the synthetic routes of PPCs through incorporations of different functionalized third monomers to the polymer chains and their effects on properties of newly functionalized PPCs. The results show that the copolymerization of CO2 and propylene oxide (PO) provides a way to utilize excess CO2 for producing biodegradable and environmentally friendly polymerization products (i.e., CO2-based PPC). This offers a novel strategy for the preparation of new and potentially sustainable plastic 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 | 0.000 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".