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Record W2076058875 · doi:10.1002/pola.10381

Synthesis of thioether derivatives of brominated poly(isobutylene‐<i>co</i>‐isoprene): Direct coupling chemistry for silica reinforcement

2002· article· en· W2076058875 on OpenAlexaff
J. Scott Parent, Greg D. F. White, Ralph A. Whitney

Bibliographic record

VenueJournal of Polymer Science Part A Polymer Chemistry · 2002
Typearticle
Languageen
FieldMaterials Science
TopicPolymer Nanocomposites and Properties
Canadian institutionsQueen's University
Fundersnot available
KeywordsIsobutyleneThioetherIsopreneChemistryPolymer chemistryNucleophilic substitutionCationic polymerizationBromideNucleophileAllylic rearrangementReactivity (psychology)Base (topology)SulfoneSulfideElastomerCoupling reactionOrganic chemistryPolymerCopolymerCatalysis

Abstract

fetched live from OpenAlex

Abstract Thioether derivatives of brominated poly(isobutylene‐co‐isoprene) (BIIR) were prepared through base‐mediated nucleophilic substitution reactions of the elastomer with thiolate ions formed in situ from thiols. The characterization of the reaction products was accomplished with studies of a model compound, brominated 2,2,4,8,8‐pentamethyl‐4‐nonene, the reactivity of which was shown to be consistent with that of the polymer. The reaction of aliphatic thiols with the allylic bromide functionality of BIIR required a strong base, and base‐catalyzed air oxidation of the thiol to disulfide operated concurrently to reduce the yield of the desired substitution products. An efficient and direct method of coupling BIIR to silica with (3‐mercaptopropyl)trimethoxysilane improved filler dispersion, thereby overcoming problematic agglomeration of reinforcing siliceous fillers in these compounds. © 2002 Wiley Periodicals, Inc. J Polym Sci Part A: Polym Chem 40: 2937–2944, 2002

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.001

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 head0.020
GPT teacher head0.251
Teacher spread0.231 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations7
Published2002
Admission routes1
Has abstractyes

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