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Record W2428731401 · doi:10.1002/macp.201600028

Synthesis and Solution Self‐Assembly of Polyisoprene‐<i>block</i>‐poly(ferrocenylmethylsilane): A Diblock Copolymer with an Atactic but Semicrystalline Core‐Forming Metalloblock

2016· article· en· W2428731401 on OpenAlexafffund
Van An Du, Huibin Qiu, Mitchell A. Winnik, George R. Whittell, Ian Manners

Bibliographic record

VenueMacromolecular Chemistry and Physics · 2016
Typearticle
Languageen
FieldChemistry
TopicAdvanced Polymer Synthesis and Characterization
Canadian institutionsUniversity of Toronto
FundersEngineering and Physical Sciences Research CouncilNatural Sciences and Engineering Research Council of Canada
KeywordsCopolymerMicellePolymer chemistryMolar massDispersityCrystallinityPolymerizationMaterials scienceChemistryPolymerOrganic chemistryComposite materialAqueous solution

Abstract

fetched live from OpenAlex

Polyisoprene‐ block ‐poly(ferrocenylmethylsilane) (PI‐ b ‐PFMS) copolymers, containing the atactic but semicrystalline PFMS block, have been prepared by sequential anionic polymerization of isoprene and methyl[1]silaferrocenophane. The reaction to form the metalloblock is not living in nature, but still enabled three block copolymers to be prepared (PI 35 ‐ b ‐PFMS 5 , PI 200 ‐ b ‐PFMS 10 , and PI 247 ‐ b ‐PFMS 23 ) with relative narrow molar mass distributions (polydispersity &lt; 1.3). The self‐assembly of all three materials was studied in PI selective n ‐alkanes and found to afford lenticular platelets, tapered cylindrical micelles, and regular cylinders, as the length of the PFMS block increased. PI 200 ‐ b ‐PFMS 10 micelles could be increased in length by self‐seeding a sample of short micelles at temperatures of 90 °C and above; however, this process also resulted in an increase in width. Addition of a solution of PI 247 ‐ b ‐PFMS 23 copolymer to preformed seed micelles also resulted in an increase in length, although growth is not linearly related to the amount of copolymer added beyond ≈600 nm. image

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 score0.016
Threshold uncertainty score1.000

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 head0.008
GPT teacher head0.213
Teacher spread0.205 · 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

Citations11
Published2016
Admission routes2
Has abstractyes

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