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Record W2029749546 · doi:10.1002/app.20574

A kinetic investigation of the <i>in situ</i> polymerization of methyl methacrylate under supercritical fluid CO<sub>2</sub> conditions using high‐pressure DSC

2004· article· en· W2029749546 on OpenAlexaff
Shiying Lu, Zhiyi Zhang, A. Victoria Nawaby, Michael Day

Bibliographic record

VenueJournal of Applied Polymer Science · 2004
Typearticle
Languageen
FieldChemical Engineering
TopicCarbon dioxide utilization in catalysis
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsSupercritical fluidPolymerizationKineticsMethyl methacrylateIsothermal processActivation energyKinetic energyPolymer chemistryMaterials scienceDegree of polymerizationOrder of reactionSolventChemistryThermodynamicsReaction rate constantPhysical chemistryPolymerOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract The polymerization kinetics of methyl methacrylate (MMA) under supercritical fluid CO 2 was studied by using high‐pressure DSC. The results indicate that CO 2 can significantly reduce the cage effect and improve the chain propagation reactions, with the observed solvent‐like effects being enhanced by increased CO 2 pressures. The polymerization of MMA under isothermal conditions and 56 atm of CO 2 was characterized by a first‐order kinetic rate expression over the conversion range 20–80%. The apparent activation energy for the reaction was found to be 51.6 kJ/mol, which is less than the value reported under ambient conditions (68.2 kJ/mol). The polymerization kinetics were also evaluated under nonisothermal conditions. © 2004 Wiley Periodicals, Inc. J Appl Polym Sci 93: 1236–1239, 2004

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)0.001
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 score0.059
Threshold uncertainty score0.521

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
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 head0.012
GPT teacher head0.249
Teacher spread0.237 · 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

Citations7
Published2004
Admission routes1
Has abstractyes

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