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Record W2577526147 · doi:10.1002/cssc.201601641

Mechanistic Studies of Cyclohexene Oxide/CO<sub>2</sub> Copolymerization by a Chromium(III) Pyridylamine‐Bis(Phenolate) Complex

2017· article· en· W2577526147 on OpenAlexafffund
Katalin Devaine‐Pressing, Christopher M. Kozak

Bibliographic record

VenueChemSusChem · 2017
Typearticle
Languageen
FieldChemical Engineering
TopicCarbon dioxide utilization in catalysis
Canadian institutionsMemorial University of Newfoundland
FundersNatural Sciences and Engineering Research Council of CanadaMemorial University of NewfoundlandResearch and Development Corporation of Newfoundland and LabradorCanada Foundation for Innovation
KeywordsChromiumCyclohexene oxideCopolymerChemistryOxideCyclohexeneChromium oxideInorganic chemistryPolymer chemistryCatalysisOrganic chemistryPolymer

Abstract

fetched live from OpenAlex

Abstract Chromium(III) chlorido amine‐bis(phenolate) complexes paired with nucleophilic co‐catalysts are a promising family of catalysts for the copolymerization of CO 2 and epoxides to selectively produce polycarbonates with a very high degree of carbonate linkages. Single‐component catalyst systems can be prepared, where the neutral nucleophile, 4‐dimethylaminopyridine (DMAP), is coordinated to the metal site to provide a stable octahedral Cr III complex. These complexes possess the potential for both anionic (from the chlorido ligand) or neutral (DMAP) nucleophilic epoxide ring‐opening during the proposed rate‐determining initiation step. Concentration effect studies support a first‐order dependence of the polymerization rate on the concentration of single‐component catalyst. End‐group analysis of polycarbonates by MALDI‐TOF MS indicate the presence of predominantly DMAP‐initiated chains as well as the occurrence of chain‐transfer events resulting in ether linkages, likely from the presence of cyclohexene diol formed by the reaction of cyclohexene oxide and adventitious water.

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)0.001
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 score0.013
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.032
GPT teacher head0.290
Teacher spread0.259 · 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

Citations25
Published2017
Admission routes2
Has abstractyes

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