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Record W2001530486 · doi:10.1021/ma9920691

Monodisperse Cross-Linked Core−Shell Polymer Microspheres by Precipitation Polymerization

2000· article· en· W2001530486 on OpenAlexaff
Wenhui Li, Harald D. H. Stöver

Bibliographic record

VenueMacromolecules · 2000
Typearticle
Languageen
FieldEngineering
TopicMicrofluidic and Capillary Electrophoresis Applications
Canadian institutionsMcMaster University
Fundersnot available
KeywordsDispersityPrecipitation polymerizationMonomerDivinylbenzeneChemical engineeringPolymer chemistryParticle sizePolymerMaterials sciencePolymerizationParticle (ecology)PrecipitationAcetonitrileMethacrylic acidPorosityChemistryCopolymerRadical polymerizationChromatographyComposite material

Abstract

fetched live from OpenAlex

Monodisperse cross-linked core−shell polymer microspheres having diameters in the micrometer-size range were prepared by semibatch and by two-step precipitation polymerization in the absence of any stabilizer. Commercial divinylbenzenes, containing 55% or 80% divinylbenzene, were used for the core, and several functional monomers including chloromethylstyrene, monovinyl, or divinyl methacrylic monomers were incorporated into the shell. Acetonitrile and toluene/acetonitrile mixtures were used as reaction media. Depending on the type of monomer and reaction medium used, the shell could be made nonporous or porous. The particle size distribution, surface morphology, internal texture, and porosity of the resulting core−shell particles were studied. The chromatographic properties of selected particles were evaluated.

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)0.0010.000
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 head0.005
GPT teacher head0.214
Teacher spread0.209 · 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

Citations188
Published2000
Admission routes1
Has abstractyes

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