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Record W2462129200 · doi:10.1002/cjce.22592

Measuring and modelling the peculiarities of aqueous‐phase radical polymerization

2016· article· en· W2462129200 on OpenAlexaffvenue
Calista Preusser, Robin A. Hutchinson

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2016
Typearticle
Languageen
FieldChemistry
TopicAdvanced Polymer Synthesis and Characterization
Canadian institutionsQueen's University
FundersBASF
KeywordsPolymerizationRadical polymerizationAqueous solutionMethacrylic acidMonomerFormamidePolymer chemistryChemistryAcrylic acidKinetic chain lengthPolymerRadicalBulk polymerizationPrecipitation polymerizationSolution polymerizationKineticsAqueous two-phase systemChemical engineeringOrganic chemistry

Abstract

fetched live from OpenAlex

The application of specialized pulsed‐laser techniques has led to a vastly improved understanding of the kinetics of aqueous phase solution radical polymerization of water‐soluble monomers. Propagation rate coefficients vary significantly with monomer concentration, an effect unique to the aqueous environment. In addition, the formation and reaction of mid‐chain radicals affects polymerization rates, and thus polymer molar masses, in acrylamide and acrylic acid systems. This perspective provides an overview of these mechanistic peculiarities, which have been captured in kinetic models developed to represent the homopolymerizations of N ‐vinyl pyrrolidone, N ‐vinyl formamide, methacrylic acid, acrylic acid, and acrylamide over a wide range of conditions. The batch studies demonstrate the importance of these effects in aqueous polymerization and the validity of the rate coefficients taken from the independent kinetic studies.

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 score0.032
Threshold uncertainty score0.182

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 head0.014
GPT teacher head0.184
Teacher spread0.169 · 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

Citations8
Published2016
Admission routes2
Has abstractyes

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