Estimation of biodegradable-resin degradation via controlled composting
Bibliographic record
Abstract
The improvement of life style has resulted in the increment of outdoor activities and leisure, which caused the increase of disposable products due to its convenience. Petroleum based plastics have shown the negative impacts on the environment with their inert characteristics. In order to improve such a situation, many studies have suggested biodegradable materials for disposable products. However, the determination of biodegradability is not very straightforward and for its convenience, short period and reliance of biodegradability shall be proved. The composting is one way to test biodegradability via American society for testing and materials (ASTM) with ASTM 5338 and 6400. Two different PLA bioplastic resins were tested in temperature controlled composting system in this study in which the cellulose as reference was used for comparison. For 100 days, the degradability of 68.4% in cellulose was achieved and testing materials of TF and XD showed 54.0 and 44.0%, respectively. The degradation analysis via CO2 capture showed the similar trend of biodegradability in weight basis but the values were difference, which may be some technical errors which shall be improved in the future. Through the model equations, the complete degradation period may be predicted and the values will be reliable with many repeated trials.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".