Influence of Poly(ethylene oxide) (PEO) Percent and Lignin Type on the Properties of Lignin/PEO Blend Filament
Why this work is in the frame
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Bibliographic record
Abstract
Three types of lignin/poly(ethylene oxide) (PEO) blend filaments with different PEO percent were prepared by melt spinning. The effects of PEO percent and lignin type on the morphology, mechanical property, and thermostability of the blend filaments were systematically studied. The morphologies of the filaments were observed by optical microscope. The mechanical properties of the filaments were measured with an Instron model Isx. The results showed that the effect of lignin/PEO blending ratio was not a simple function of PEO content. The flexibility of the lignin/PEO filament increases as thermal stability decreases. A 15% PEO content produces the best combination of filament performance, such as uniform diameter, smooth surface, adequate mechanical property, and thermal stability.
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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 | 0.000 |
| 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 it