MétaCan
Menu
Back to cohort
Record W2145637808 · doi:10.1021/om050699n

Switchable Chromium(II) Ethylene Oligomerization/Polymerization Catalyst

2005· article· en· W2145637808 on OpenAlexafffund
P. Crewdson, Sandro Gambarotta, M.-C. Djoman, Ilia Korobkov, Robbert Duchateau

Bibliographic record

VenueOrganometallics · 2005
Typearticle
Languageen
FieldChemistry
TopicOrganometallic Complex Synthesis and Catalysis
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsChemistryDilithiumCatalysisChromiumPolymerizationPyridineEthyleneDivalentMedicinal chemistryLigand (biochemistry)Polymer chemistryOxidation stateYield (engineering)Salt (chemistry)Cationic polymerizationInorganic chemistryOrganic chemistryPolymerDeprotonation

Abstract

fetched live from OpenAlex

The tri- and divalent chromium derivatives of [N-Me,tripyrr] ([N-Me,tripyrr] = 2,5-bis(diphenyl(pyrrol-2-yl)methyl)-1-methylpyrrole) [N-Me,tripyrr]CrCl ( 1 ), and [N-Me,tripyrr]Cr(L) 2 ·(THF) 0.5 ( 2 ) [L = THF ( 2a ), pyridine ( 2b )] were obtained in good yield from the reaction of the dipotassium salt of the ligand with CrCl 3 (THF) 3 and CrCl 2 (THF) 2, respectively. Reaction of the dilithium salt of the ligand with CrCl 2 (THF) 2 led to the divalent analogue [N-Me,tripyrr]Cr(μ-Cl)Li(THF) 3 ( 3 ), wherein a Li−Cl unit was retained by the metal center. The compounds were tested for ethylene oligomerization activity upon activation with two different alumoxanes. In the case of MAO, the Cr(II) catalyst precursors 2b and 3 showed a marked increase in activity with respect to the trivalent 1 . The product distributions from compounds 1 and 2b were nearly identical, indicating that the Cr(II) oxidation state provides better catalyst precursors. Use of the i-BuAlO activator instead of MAO afforded exclusively polymerization with high activity and produced linear, low molecular weight polyethylene.

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), Insufficient payload (model declined to judge)
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 score0.343
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.1060.001

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 head0.010
GPT teacher head0.211
Teacher spread0.201 · 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

Citations46
Published2005
Admission routes2
Has abstractyes

Explore more

Same venueOrganometallicsSame topicOrganometallic Complex Synthesis and CatalysisFrench-language works237,207