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Record W2011252263 · doi:10.1021/la991440a

Association in Solution and Adsorption at an Air−Water Interface of Alternating Copolymers of Maleic Anhydride and Styrene

2000· article· en· W2011252263 on OpenAlexaff
Gil Garnier, Miroslava Dušková‐Smrc̆ková, Renata Vyhnalkova, Theo G. M. van de Ven, Jean‐François Revol

Bibliographic record

VenueLangmuir · 2000
Typearticle
Languageen
FieldChemistry
TopicSurfactants and Colloidal Systems
Canadian institutionsMcGill University
Fundersnot available
KeywordsRadius of gyrationMaleic anhydridePolymerAqueous solutionAdsorptionCopolymerSurface tensionPolystyreneSMA*Polymer chemistryMaleic acidChemical engineeringStyreneMaterials scienceChemistryMoleculeAnalytical Chemistry (journal)Composite materialOrganic chemistryThermodynamics

Abstract

fetched live from OpenAlex

The behavior of alternating poly(styrene−maleic anhydride) (SMA) in aqueous solution and at the air−water interface was studied by static and dynamic light scattering, by surface tension measurements, and by transmission electron microscopy (TEM). The variables of interest were the polymer concentration, the molecular weight, and the degree of ionization varied with pH. SMA polymers can associate in aqueous solution. The critical size of SMA in solution ranges from the predicted Gaussian radius of gyration ( r g ) up to 150 nm. The size of the associates increases with decreasing molecular weight. A maximum in associate size was measured at pH = 6.5, which corresponds to the polymer salt under its monosodium form. A mechanism by which SMA molecules zip together forming a macrocoil made of two molecules in cross section was proposed. SMA molecules also adsorb at the air−water interface, very likely as 2D-coils. An equilibrium links the concentration of SMA in solution and at the air−water interface.

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 score0.002

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 integrity0.0000.000
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 head0.232
Teacher spread0.225 · 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

Citations67
Published2000
Admission routes1
Has abstractyes

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