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Record W3138077527 · doi:10.1021/acs.iecr.1c00193

Effect of Ionization on Aqueous Phase Radical Copolymerization of Acrylic Acid and Cationic Monomers

2021· article· en· W3138077527 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

VenueIndustrial & Engineering Chemistry Research · 2021
Typearticle
Languageen
FieldChemistry
TopicElectrostatics and Colloid Interactions
Canadian institutionsQueen's University
Fundersnot available
KeywordsCationic polymerizationComonomerCopolymerMonomerChemistryAcrylic acidPolymer chemistryReactivity (psychology)ChlorideAqueous solutionOrganic chemistryPolymer

Abstract

fetched live from OpenAlex

The synthesis of polyampholytes by radical copolymerization of cationic and anionic monomers in aqueous solutions is investigated using in situ NMR to track monomer conversions and relative consumption rates. The batch copolymerization kinetics of two cationic monomers, 2-(methacryloyloxyethyl)trimethylammonium chloride (TMAEMC) and 3-(methacryloylaminopropyl)trimethylammonium chloride (MAPTAC), with fully ionized acrylic acid (NaA) are compared with each other and also to their copolymerization with nonionized acrylic acid (AA). TMAEMC, with its ester functionality, exhibits higher reactivity than MAPTAC, with both of the cationic monomers preferentially incorporated into the copolymers relative to both AA and NaA. The increased relative incorporation rate of the cationic comonomers when copolymerized with NaA compared to AA is attributed to the electrostatic repulsion to addition of NaA monomer to an NaA radical and the favored cross-propagation steps between oppositely charged species. The data set is used to estimate system reactivity ratios that accurately capture the dependence of comonomer composition drift on initial monomer concentrations and composition.

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)0.001
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 score0.007
Threshold uncertainty score0.517

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.001
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 head0.028
GPT teacher head0.342
Teacher spread0.314 · 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