Solubility of ethylene in toluene and toluene/styrene–butadiene rubber solutions
Bibliographic record
Abstract
Abstract The solubility of ethylene in toluene and in toluene (90 wt %)/styrene–butadiene rubber (SBR; 10 wt %) solutions was determined because the solubility data were of interest for the kinetic study of the metallocene‐catalyzed homopolymerization of ethylene and the copolymerization of ethylene with α‐olefins. The data were obtained over the temperature range of 293–343 K and the pressure range of 50–180 psi. An original Universal Functional Group Activity Coefficient (UNIFAC) model was applied for the ethylene–toluene system, and a UNIFAC‐ZM model (a modified UNIFAC model proposed by Zhong and Masuoka et al.) was applied for the ethylene–toluene/SBR ternary system. Henry's law was also used to correlate the experimental results of the two systems. A comparison was made between the UNIFAC models and Henry's law. © 2005 Wiley Periodicals, Inc. J Appl Polym Sci 96: 645–649, 2005
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.002 | 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".