MétaCan
Menu
Back to cohort
Record W2483814323 · doi:10.1021/bk-2002-0833.ch012

Stimuli-Responsive Gels Based on Ring-Opened Polyferrocenes: Synthesis, Characterization, and Electrochemical Studies of Swellable, Thermally Cross-Linked Polyferrocenylsilanes

2002· book-chapter· en· W2483814323 on OpenAlexaff
Kevin Kulbaba, Mark J. MacLachlan, Christopher E. B. Evans, Ian Manners

Bibliographic record

VenueACS symposium series · 2002
Typebook-chapter
Languageen
FieldMaterials Science
TopicSilicone and Siloxane Chemistry
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSwellingChloroformDichloromethanePolymer chemistryThermal stabilityElectrochemistryCopolymerRedoxSolventHildebrand solubility parameterMaterials scienceSolubilityChemistryChemical engineeringPolymerElectrodeOrganic chemistryPhysical chemistryComposite material

Abstract

fetched live from OpenAlex

A series of crosslinked polyferrocenylsilane networks have been prepared via the copolymerization of the silicon-bridged [1]ferrocenophane, fcSiMe2 (fc = Fe(η -C5H4)2) with controlled amounts of a spirocyclic [1]ferrocenophane fcSi(CH2)3. Thermal analysis revealed that the crosslinked polyferrocenylsilanes have improved thermal stability relative to their linear counterparts. Swellability was investigated as a function of temperature, solvent and crosslink density. As expected, the degree of crosslinking had a dramatic effect on the swelling in various media. From swellability measurements in various solvents, it was determined that the best solvents for poly(ferrocenyldimethylsilane) are THF, chloroform, and dichloromethane. The solubility parameter (δ) for the homopolymer was found to be 18.7(7) MPa1/2. The redox and spectroscopic properties of the gels were investigated using spectroelectrochemistry in an optically transparent thin-layer electrochemistry (OTTLE) cell. Significant oxidation of the gel was evident at oxidation potentials greater than 450 mV (vs Ag/AgCl), consistent with the first oxidation potential of the linear homopolymer.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.257
Teacher spread0.234 · 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
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

Citations1
Published2002
Admission routes1
Has abstractyes

Explore more

Same venueACS symposium seriesSame topicSilicone and Siloxane ChemistryFrench-language works237,207