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Record W2082357110 · doi:10.1021/la801595m

Polysiloxane Nanofibers via Surface Initiated Polymerization of Vapor Phase Reagents: A Mechanism of Formation and Variable Wettability of Fiber-Bearing Substrates

2008· article· en· W2082357110 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueLangmuir · 2008
Typearticle
Languageen
FieldMaterials Science
TopicSurface Modification and Superhydrophobicity
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsWettingReagentNanofiberMaterials scienceContact angleChemical engineeringPolymerizationFiberSurface modificationAqueous solutionSubstrate (aquarium)Polymer chemistryPhase (matter)CalcinationComposite materialChemistryPolymerOrganic chemistryCatalysis

Abstract

fetched live from OpenAlex

A detailed study of polysiloxane nanofiber formation by surface initiated polymerization of vapor phase organotrichlorosilane reagents is presented. Substrate composition, substrate activation, reagent quantity, reaction pressure, and reaction time are parameters shown to influence nanofiber synthesis. Stepwise variation of the parameters isolates the role of each on polysiloxane nanofiber growth, and a mechanism for fiber formation is proposed based on these findings. Tunable aqueous wettability of the fibers is also demonstrated in this report, with contact angles varying from 85 degrees to 130 degrees +/- 2 degrees depending upon fiber surface density and length. Aqueous contact angles are further increased to >150 degrees by either solution functionalization of calcined fibers or copolymerization with an organofluorosilane

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 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 score0.003
Threshold uncertainty score0.384

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)0.0000.000

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 head0.038
GPT teacher head0.260
Teacher spread0.222 · 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