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Record W2105260137 · doi:10.1002/mren.201100024

Kinetics and Modeling of Solution ARGET ATRP of Styrene, Butyl Acrylate, and Methyl Methacrylate

2011· article· en· W2105260137 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 Reaction Engineering · 2011
Typearticle
Languageen
FieldChemistry
TopicAdvanced Polymer Synthesis and Characterization
Canadian institutionsMcMaster University
FundersNational Natural Science Foundation of China
KeywordsAtom-transfer radical-polymerizationCopolymerPolymer chemistryPolymerizationMethyl methacrylateMonomerStyreneCatalysisMaterials scienceMethyl acrylateMethacrylateKineticsPolymerChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract This work reports a kinetic model for the activator‐regenerated‐by‐electron‐transfer atom‐transfer radical polymerization (ARGET ATRP) and its verification by the experimental data of solution ARGET ATRP of styrene, methyl methacrylate, and butyl arylate from literatures. The effects of ATRP equilibrium constant K and apparent reducing rate coefficient k r on the ARGET ATRP kinetics are investigated. A highly active initiation/catalyst system with a large K results in a poor control of the polymerization while an increased k r promotes the polymerization rate but the formation of dead polymer chains. Reducing agent with a moderate k r gives good control over ARGET ATRP. It is not feasible to use a moderate catalyst system for the ARGET ATRP of highly active monomers. magnified image

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.186
Threshold uncertainty score0.611

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 head0.017
GPT teacher head0.207
Teacher spread0.191 · 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