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Record W2119076645 · doi:10.1002/macp.200390010

Free Radical Polymerization of Styrene with a New Tetrafunctional Peroxide Initiator

2003· article· en· W2119076645 on OpenAlexafffund
Sabile Fityani‐Trimm, Ramdhane Dhib, Alexander Penlidis

Bibliographic record

VenueMacromolecular Chemistry and Physics · 2003
Typearticle
Languageen
FieldChemistry
TopicAdvanced Polymer Synthesis and Characterization
Canadian institutionsToronto Metropolitan UniversityUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPolymer chemistryPolystyrenePolymerizationRadical polymerizationRadius of gyrationMolar mass distributionBranching (polymer chemistry)ChemistryMultiangle light scatteringStyreneMolar massRadical initiatorBulk polymerizationPolymerDegree of polymerizationCopolymerLight scatteringOrganic chemistryScattering

Abstract

fetched live from OpenAlex

Abstract Bulk, free‐radical polymerization of styrene was carried out in the presence of a new tetrafunctional initiator (JWEB50, ATOFINA Chemicals, Inc.). The objective was to investigate the effect of initiator functionality on the free radical polymerization process. Size exclusion chromatography (SEC) with an on‐line multi‐angle laser light scattering (MALLS) detector was used to measure molecular weight (MW), molecular weight distribution (MWD), and radius of gyration ( R g ) of polystyrene. These results were compared to those with a monofunctional initiator, LupTBEC, also from ATOFINA. At equivalent molar concentrations, initiation with JWEB50 and LupTBEC produced polystyrene with similar MWs and MWDs. However, the rate of polymerization was faster with JWEB50. When LupTBEC was four times the molar concentration of JWEB50, equal rates of polymerization were achieved for both initiators. The MWDs were again similar, but the MWs were higher for the tetrafunctional initiation. Degree of branching and gelation were also investigated. A mixture of branched and linear polymer was produced by JWEB50, while no insoluble gel was formed. Decomposition of JWEB50, a tetrafunctional initiator. image Decomposition of JWEB50, a tetrafunctional initiator.

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 categoriesnone
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 score0.087
Threshold uncertainty score0.667

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)0.0010.000

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 head0.006
GPT teacher head0.190
Teacher spread0.184 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations21
Published2003
Admission routes2
Has abstractyes

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