Sorption and pervaporation results of clinoptilolite filled poly(vinylalcohol) membrane prepared for dehydration of aqueous organic mixtures
Bibliographic record
Abstract
Abstract Clinoptilolite filled poly(vinylalcohol) membranes containing different weight percentages of zeolite were prepared by solution casting method, and the prepared membranes were characterised by scanning electron microscopy, thermogravimetric analysis and differential scanning calorimeter. Sorption and permeation experiments were carried out at 30, 40 and 50°C in pure water, ethanol (EtOH) and ethylacetate. In addition, the pervaporation separation of EtOH–water mixtures was conducted for 20–80 wt% water containing EtOH–water binary mixtures at 30, 40 and 50°C. It is observed that permeation rates increased and selectivity decreased with the increasing of temperature and the water content in the feed.
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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 | 0.000 | 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) | 0.000 | 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".