MétaCan
Menu
Back to cohort
Record W2030830651 · doi:10.1021/ma801435t

PLP/SEC/NMR Study of Free Radical Copolymerization of Styrene and Glycidyl Methacrylate

2008· article· en· W2030830651 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

VenueMacromolecules · 2008
Typearticle
Languageen
FieldChemistry
TopicAdvanced Polymer Synthesis and Characterization
Canadian institutionsQueen's University
Fundersnot available
KeywordsCopolymerGlycidyl methacrylateMonomerStyrenePolymer chemistryReactivity (psychology)RadicalMethacrylateChemistryPolymerizationRadical polymerizationKineticsPhotochemistryMaterials sciencePolymerOrganic chemistry

Abstract

fetched live from OpenAlex

Free radical copolymerization of glycidyl methacrylate (GMA) and styrene (ST) is systematically investigated using low conversion pulsed laser polymerization (PLP) experiments. It is shown that GMA, like other methacrylate monomers, undergoes significant depropagation at elevated temperatures. While ST/GMA copolymer composition is well represented by the terminal model, the copolymer-averaged propagation rate coefficient for the system is not; the latter quantity is represented using the implicit penultimate unit model. The PLP data are used to estimate GMA depropagation kinetics as well as ST/GMA monomer ( r ST = 0.31 and r GMA = 0.51) and radical ( s ST = 0.28 and s GMA = 1.05) reactivity ratios, which show no significant variation in the 50−140 °C temperature range examined. The GMA/ST copolymerization behavior is compared to that of butyl methacrylate (BMA) with ST; GMA monomer is more active toward styrene radicals than BMA, and a GMA unit in the penultimate position of styrene radicals reduces copolymerization propagation to a greater extent.

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 score0.010
Threshold uncertainty score0.608

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 head0.012
GPT teacher head0.231
Teacher spread0.218 · 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