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Record W2021069938 · doi:10.1002/macp.201200506

In‐Depth Investigation of Ethylene Solution Polymerization Kinetics With <i>rac</i>‐Et(Ind)<sub>2</sub>ZrCl<sub>2</sub>/MAO

2012· article· en· W2021069938 on OpenAlexaff
Saeid Mehdiabadi, João B. P. Soares

Bibliographic record

VenueMacromolecular Chemistry and Physics · 2012
Typearticle
Languageen
FieldChemistry
TopicOrganometallic Complex Synthesis and Catalysis
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMethylaluminoxanePolymerizationChain transferPolymer chemistryEthyleneChemistryKineticsMetalloceneChain terminationMonomerHydrideCoordination polymerizationSolution polymerizationCatalysisRadical polymerizationPolymerOrganic chemistryMetal

Abstract

fetched live from OpenAlex

Abstract The kinetics of ethylene polymerization with rac ‐Et(Ind) 2 ZrCl 2 /methylaluminoxane (MAO) in a semibatch solution reactor are investigated. The effects of ethylene concentration, polymerization temperature, and MAO concentration are studied to determine the polymerization and chain‐transfer rate constants, including the activation energies for the main polymerization steps. The ethylene polymerization kinetics with rac ‐Et(Ind) 2 ZrCl 2 /MAO are first order with respect to the ethylene concentration. Catalyst deactivation also follows first‐order kinetics. Chain transfer to the monomer is the dominant chain‐transfer reaction in this system; transfer to MAO also happens to a lesser extent, but β‐hydride elimination is negligible for the conditions investigated in this study.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.008
GPT teacher head0.199
Teacher spread0.191 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations12
Published2012
Admission routes1
Has abstractyes

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