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Record W2149534170 · doi:10.1002/masy.200450239

Process modelling and optimization of styrene polymerization

2004· article· en· W2149534170 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMacromolecular Symposia · 2004
Typearticle
Languageen
FieldMaterials Science
TopicThermal and Kinetic Analysis
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPolystyreneBifunctionalStyrenePolymerizationMaterials scienceProcess (computing)Process engineeringPolymer chemistryComputer scienceCopolymerPolymerChemistryCatalysisOrganic chemistryComposite materialEngineering

Abstract

fetched live from OpenAlex

Abstract Polystyrene is a common commodity with thin margin, it is desirable for industry to reduce the production cost by optimizing the process and producing polystyrene with desired properties. This paper has reviewed several commonly used process optimization policies from the literature. The kinetics of styrene polymerization with mono‐ or bifunctional initiator has also be described. It has been demonstrated that by using a temperature profile combined with selective mono‐ or bifunctional initiators, one can decrease bach time while still maintaining the desired molecular weight averages. The recently developed new tetra‐functional initiator by Elf‐Atochem provides a new tool for controlling/optimization purposes. Industrial process configurations of polystyrene production has also be discussed.

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.467
Threshold uncertainty score0.284

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 head0.005
GPT teacher head0.208
Teacher spread0.203 · 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