The Thermal Behavior of Polylactide with Different <scp>D</scp>‐Lactide Content in the Presence of Dissolved CO<sub>2</sub>
Bibliographic record
Abstract
Abstract The crystallization behavior of polylactide with different D‐lactide content (1.5, 4.6, and 10.1%.) was investigated in the presence of dissolved CO2 by using a high‐pressure differential scanning calorimeter. The PLA's crystallization rate was significantly increased with the dissolved CO2 and by reducing the D‐lactide content. However, the PLA with a high D‐lactide content did not reveal any crystallization during non‐isothermal and isothermal melt crystallization, even under 60 bar CO2 pressure. On the other hand, the final crystallinity of the other two PLA samples differed at various CO2 pressures and at different cooling rates. This was due to the resultant effects of CO2's plasticization and the density of the crystal nuclei on the PLA's molecular mobility, a phenomenon consistent with our earlier investigations of PLAs with different branching degrees and with PLA nano/microcomposites. Moreover, the plasticizing CO2 molecules depressed the crystallization and glass transition temperatures of the PLA samples similarly.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 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) | 0.001 | 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".