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Record W2047722355 · doi:10.1021/ma8012493

Amorphous Diblock Copolymers with a High Organometallic Block Volume Fraction: Synthesis, Characterization and Self-Assembly of Polystyrene-<i>block</i>-Poly(ferrocenylethylmethylsilane) in the Bulk State

2008· article· en· W2047722355 on OpenAlex
Jean‐Charles Eloi, David A. Rider, Jiayu Wang, Thomas P. Russell, Ian Manners

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.

Bibliographic record

VenueMacromolecules · 2008
Typearticle
Languageen
FieldMaterials Science
TopicBlock Copolymer Self-Assembly
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCopolymerPolystyreneAmorphous solidVolume fractionMaterials sciencePolymer chemistryStyrenePolymerizationCharacterization (materials science)Anionic addition polymerizationPolymerChemical engineeringCrystallographyChemistryNanotechnologyComposite material

Abstract

fetched live from OpenAlex

The preparation of polystyrene- b -poly(ferrocenylethylmethylsilane) diblock copolymers (PS- b -PFEMS) with a high volume fraction of the organometallic block (ϕ PFEMS = 0.69−0.87) has been achieved via the sequential living anionic polymerization of styrene and ethylmethylsila[1]ferrocenophane. High molecular weights ( M n = 50000 to 250000 g/mol) and narrow molecular weight distributions (PDI = 1.05−1.17) were achieved. As both of the blocks are amorphous, the resulting diblock copolymers undergo predictable self-assembly in the bulk and well-ordered microdomains are reported. The data described complement previous results on analogous block copolymers with a low PFEMS volume fraction and a morphology diagram for PS- b -PFEMS is described.

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 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 score0.038
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
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.007
GPT teacher head0.197
Teacher spread0.190 · 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