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Record W2054436562 · doi:10.1002/macp.200800328

ARGET ATRP of Methacrylates and Acrylates with Stoichiometric Ratios of Ligand to Copper

2008· article· en· W2054436562 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 Chemistry and Physics · 2008
Typearticle
Languageen
FieldChemistry
TopicAdvanced Polymer Synthesis and Characterization
Canadian institutionsQueen's University
Fundersnot available
KeywordsMethacrylateCatalysisMonomerStoichiometryPolymer chemistryCopperAcrylateCopolymerMethyl methacrylatePolymerAtom-transfer radical-polymerizationLigand (biochemistry)ChemistryMaterials scienceOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Atom transfer radical polymerizations of butyl methacrylate, methyl methacrylate, and butyl acrylate were conducted using only ppm amounts of catalyst through the regeneration of activator via the ARGET mechanism. The polymers produced were nearly colorless, and exhibited living characteristics with copper catalyst levels as low as 6.4 ppm (relative to monomer). Polymerizations were well controlled at temperatures up to 110 °C and, contrary to previous studies, ARGET ATRP was successfully carried out using only a stoichiometric amount of ligand to catalyst. As ligand can account for a considerable portion of catalyst cost, these results demonstrate the robustness of ARGET ATRP, and its potential for industrial adoption. 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 score0.008
Threshold uncertainty score0.609

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 head0.007
GPT teacher head0.206
Teacher spread0.198 · 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