MétaCan
Menu
Back to cohort
Record W2010823676 · doi:10.1002/masy.200900009

Preparation of Stable Miniemulsions of Poly(2‐ethyl hexyl acrylate‐co‐vinyl acetate)

2010· article· en· W2010823676 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 Symposia · 2010
Typearticle
Languageen
FieldMaterials Science
TopicThermal and Kinetic Analysis
Canadian institutionsQueen's UniversityUniversity of Ottawa
Fundersnot available
KeywordsPulmonary surfactantSodium dodecyl sulfateAcrylateVinyl acetateMonomerParticle sizeButyl acrylateMaterials scienceEthyl acrylateAdhesivePolymer chemistryFactorial experimentChemical engineeringChemistryChromatographyPolymerOrganic chemistryCopolymer

Abstract

fetched live from OpenAlex

Abstract Summary: This paper presents the results of the preparation of miniemulsions as well as the subsequent copolymerizations of 2‐ethyl hexyl acrylate and vinyl acetate. The miniemulsions were prepared using a mixture of an anionic and a non‐ionic surfactant. Sodium dodecyl sulfate (SDS) was used as the anionic surfactant and two non‐ionic surfactants were studied: Triton X‐405 and Disponil A3065. The miniemulsions prepared with a 90/10 mol.‐% Disponil A3065 were able to reach a kinetically‐stable state to yield latexes with 43 wt.‐% solids content with a maximum change in the number of particles (N p ) with respect to the number of droplets (N d ) of ∼6%. A 2 3 factorial design was then used to discern the influence of monomer, chain transfer agent and surfactant concentration on the droplet size distribution (DSD) and particle size distribution (PSD). Pressure‐sensitive adhesive (PSA) properties were also examined.

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 categoriesInsufficient payload (model declined to judge)
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 score0.002
Threshold uncertainty score0.999

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)0.0020.000

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 head0.006
GPT teacher head0.268
Teacher spread0.262 · 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