Crystallinity of Hybrid Nanozeolite-Poly(ethylene oxide) Composites
Bibliographic record
Abstract
New materials that contain both organic and inorganic components have potentially new chemical and physical properties that can even lie outside those bracketed by their constituents. A series of hybrid polymer-inorganic nanocomposite materials was synthesized using various poly(ethylene oxide), LiCF 3 SO 3 , and zeolite mixtures. The series included mixtures of SiO 2 , PEO-LiX, and PEO-GLYLiX, of varying concentrations (where GLY 1 /4 3-glycidoxypropyltrimethoxysi-lane, LiX is lithiated faujasite zeolite, and the Li + source was LiCF 3 SO 3 ; for all the LiCF 3 SO 3 -containing samples, the PEO oxygen: lithium mole ratio was 12: 1). Their degrees of crystallinity and glass transition temperatures relative to pure semicrystal-line PEO were found to be reduced on the addition of the inorganic components.
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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".