Preparation and Characterization of Organoclay Reinforced Polylactic Acid Biocomposite Films
Bibliographic record
Abstract
Polylactic acid (PLA) based biocomposite films, reinforced with different loadings of organoclay, were prepared by solution casting method. Four different loadings of clay was done, 2, 5, 10 and 15 weight% with respect to the matrix. These biocomposite films were characterized by mechanical characterization, scanning electron microscopy (SEM) moisture diffusivity property at 93% RH. Both the mechanical and the visco-elastic property of these films were measured by nano indentation technique. Mechanical property by nano indentation analysis revealed an idea about the extent of clay dispersion in the matrix. The amount of clay loading and its dispersion significantly affected the mechanical as well as the Visco-elastic behavior of the biocomposite films. The morphology of the films were observed with the help of SEM.
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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 | 0.001 | 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 | 0.001 |
| 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 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".