Analysis of Slurry‐<scp>P</scp>hase Co‐<scp>P</scp>olymerization of Ethylene and 1‐<scp>B</scp>utene by Ziegler–<scp>N</scp>atta Catalysts Part 1: Experimental Activity Profiles
Bibliographic record
Abstract
Abstract A rigorous method is developed to extract kinetic parameters describing catalyst activity from experimental polymerization rate profiles for Ziegler–Natta catalysts. The kinetic scheme used correlates the oxidation state with catalyst activity, eliminating the need for multiple site types to describe rate profiles. The method is applied to data from kinetic experiments performed in a lab‐scale semi‐batch reactor. Four parameters are required to describe the activity of the catalyst: the polymerization rate constant and three site transformation rate constants. The model is able to reproduce changes in the rate profiles in response to reactant concentrations. The fits of the model to the data are comparable to those in similar studies.
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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 | 0.001 |
| 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".