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Record W2085266133 · doi:10.1002/masy.201300090

Emulsion Polymerization Using Switchable Surfactants: A Route Towards Water Redispersable Latexes

2013· article· en· W2085266133 on OpenAlexaff
Xin Su, Candace Fowler, Catherine O’Neill, Julien Pinaud, Erica Kowal, Philip G. Jessop, Michael F. Cunningham

Bibliographic record

VenueMacromolecular Symposia · 2013
Typearticle
Languageen
FieldChemistry
TopicAdvanced Polymer Synthesis and Characterization
Canadian institutionsQueen's University
Fundersnot available
KeywordsEmulsion polymerizationPolystyreneChemical engineeringMaterials scienceEmulsionPolymerMethyl methacrylatePolymerizationAqueous solutionPolymer chemistryAqueous two-phase systemColloidChemistryOrganic chemistryComposite material

Abstract

fetched live from OpenAlex

Summary Colloidal latexes of polystyrene and poly(methyl methacrylate) have been prepared by emulsion polymerization using amidine‐based switchable surfactants. Particles with sizes ranging from 50 nm to 350 nm were obtained. Destabilization of the latexes requires only air and heat which destabilize the latex by removing CO2 from the system. The resulting micron sized particles can be easily filtered to yield a dry polymer powder and a clear aqueous phase. We have also developed a new benign means of reversibly coagulating anionic latexes by using “switchable water”, an aqueous solution of switchable ionic strength. The addition of CO2 and switchable water to an anionic latex can result in aggregation of the latex. Subsequent removal of CO2 by sparging with air allows the aggregated latex to be redispersed and recovered in its original state.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.208
Teacher spread0.201 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2013
Admission routes1
Has abstractyes

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