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Record W2067714267 · doi:10.1021/la010745y

Monodispersed Silica−Titanyl Sulfate Microspheres

2001· article· en· W2067714267 on OpenAlexaff
Jeannie Han, Eugenia Kumacheva

Bibliographic record

VenueLangmuir · 2001
Typearticle
Languageen
FieldMaterials Science
TopicMesoporous Materials and Catalysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSPHERESCoatingComposite numberSulfateMicrosphereDispersion (optics)Chemical engineeringMaterials scienceMineralogyChemistryNanotechnologyComposite materialOpticsMetallurgy

Abstract

fetched live from OpenAlex

We report on the synthesis of monodispersed individual silica−titanyl sulfate (SiO 2 −TS) spheres with the dimensions varying from 350 to 900 nm. An important factor leading to complete and uniform coating of SiO 2 spheres with a ca. 40 nm thick layer of TS is the ratio, φ, between the amount of TS added to the silica dispersion and the total available surface area of SiO 2 spheres. For the size range of SiO 2 particles varying between ca. 300 and 800 nm, the optimum value of φ varied from 0.05 to 0.09 g/cm 2, above which extensive aggregation of composite particles occurred. The encapsulation of SiO 2 microspheres was driven by heterocoagulation between the positively charged TS clusters and the negatively charged SiO 2 particles.

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 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 categoriesInsufficient payload (model declined to judge)
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 score0.165
Threshold uncertainty score0.997

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)0.0100.003

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 head0.009
GPT teacher head0.219
Teacher spread0.211 · 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; both teacher heads agree on what is shown here.

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

Citations20
Published2001
Admission routes1
Has abstractyes

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