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Record W2029054877 · doi:10.1021/ma991614v

Structural Analysis of Ethylene/Propylene Copolymers Synthesized with a Constrained Geometry Catalyst

2000· article· en· W2029054877 on OpenAlexafffund
Wenjun Wang, Shiping Zhu

Bibliographic record

VenueMacromolecules · 2000
Typearticle
Languageen
FieldChemistry
TopicOrganometallic Complex Synthesis and Catalysis
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsComonomerCopolymerEthylene propylene rubberMethylenePolymer chemistryPolypropylenePropylene oxideEthylenePolymerPolyethyleneElastomerMaterials sciencePolymerizationCatalysisChemistryOrganic chemistryEthylene oxideComposite material

Abstract

fetched live from OpenAlex

The chain structures of five ethylene/propylene copolymer samples with propylene mole fractions of 0.277, 0.308, 0.321, 0.583, and 0.587 were analyzed and reported in this paper. These polymers were synthesized in a solution continuous stirred-tank reactor (CSTR) at 130−150 °C using a constrained geometry catalyst (CGC). The copolymers had polydispersities close to 2. Inverted propylene units were present. A large number of long runs of polyethylene and polypropylene units were also observed. Increasing the propylene composition significantly increased the sequences of one and two methylene units and decreased those of six and more consecutive methylene units. However, the uninterrupted methylene sequence distributions were little influenced by polymerization temperature. The meso and racemic contents in the continuous and inverted propylene units were approximately equal, indicating that the CGC did not have much control over the stereoregularity of the propylene insertion. Compared to the vanadium ethylene propylene elastomers (EPM), the CGC EP copolymers had fewer alternating comonomer sequences and more consecutive ethylene and propylene units.

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 score0.165
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
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.1220.000

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 head0.213
Teacher spread0.205 · 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

Citations65
Published2000
Admission routes2
Has abstractyes

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