Role of pro-oxidant and nanoclay in thermal degradation of polythelene
Bibliographic record
Abstract
Combined effects of nanoclay and pro-oxidant on abiotic oxidation of polyethylene with different concentration of clay have been investigated in this study in order to prepare environmentally-friendly and economical polyethylene-nanoclay composites. Oxidation of polyethylene-nanocomposite film samples was carried out in an air-circulated oven. Morphology of nanocomposites was studied using wide angle x-ray diffraction (XRD) to investigate the degree of exfoliation/intercalation in nanocomposites. FTIR spectroscopy was used to evaluate the thermal oxidation rate of nanocomposites by measuring the intensity of carbonyl peaks in FTIR spectra and carbonyl index values. Experimental results showed that thermal degradation is improved noticeably due to the presence of pro-oxidant while the presence of clay act as a barrier for oxygen thereby slowing the thermal degradation rate.
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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 | 0.000 | 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".