Effects of Methylaluminoxane Modifications on Tuning the Bis(Imino)Pyridyl Iron‐Catalyzed Oligomerization of Ethylene
Bibliographic record
Abstract
For the purpose of reducing the simultaneous production of insoluble polymers during the bis(imino)pyridyl iron‐catalyzed ethylene oligomerization, various modifiers like phenol, anisole, 1‐naphthol, 2‐naphthol, benzoic acid, cyclohexanol, cyclohexyl carbinol, and benzyl alcohol were employed to modify the co‐catalyst methylaluminoxane (MAO) and tune the catalytic behaviors in this work. It was found that phenol could serve as a good polymer‐retarding modifier, the phenolic hydroxyl group was responsible for the interactions with MAO. Further increasing the aromatic ring size from phenol to naphthols was beneficial for retarding the polymer formation. Meanwhile, an increase of the acidity of the modifiers would promote the interactions between them and MAO, but also tend to easily deactivate the catalytic system. In addition, the alcohol modifiers with a phenol‐like structure were also studied, their deactivation effect was found to be stronger than their polymer‐retarding effect, making them difficult to obtain a satisfactory low polymer formation with the catalytic system remaining a high activity. POLYM. ENG. SCI., 59:1010–1016, 2019. © 2019 Society of Plastics Engineers
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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) | 0.001 | 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".