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Record W2465722005 · doi:10.1021/bk-2006-0928.ch024

Synthesis and Layer-by-Layer Assembly of Water-Soluble Polyferrocenylsilane Polyelectrolytes

2006· book-chapter· en· W2465722005 on OpenAlexafffund
Zhuo Wang, Geoffrey A. Ozin, Ian Manners

Bibliographic record

VenueACS symposium series · 2006
Typebook-chapter
Languageen
FieldEngineering
TopicMolecular Junctions and Nanostructures
Canadian institutionsUniversity of Toronto
FundersCanada Research ChairsGovernment of Canada
KeywordsPolyelectrolyteNanometreMaterials scienceCationic polymerizationPolymerLayer by layerLayer (electronics)NanotechnologyChemical engineeringSuperlatticeSelf-assemblyWater solubleMetalAqueous solutionPolymer chemistryChemistryOrganic chemistryComposite materialOptoelectronics

Abstract

fetched live from OpenAlex

Polyferrocenylsilanes (PFSs) are an interesting class of high molecular weight transition metal-containing polymers which exhibit attractive redox, semiconductive, preceramic and other physical properties. Convenient routes to a range of cationic and anionic water-soluble PFS polyelectrolytes have been achieved. These metal-containing materials are readily soluble in water and have been utilized in the self-assembly of multilayer superlattices. The electrostatic assembly of the water-soluble PFSs have also been used in tuning the optical properties of photonic crystals with nanometer scale precision.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.693
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
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 head0.005
GPT teacher head0.176
Teacher spread0.170 · 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 teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreOther

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

Citations1
Published2006
Admission routes2
Has abstractyes

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