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Record W2901727753 · doi:10.1055/s-0037-1610837

Synthesis of Poly(heteroarylenevinylene) Derivatives via Rhodium-Catalyzed Hydroarylation of Alkynes

2018· article· en· W2901727753 on OpenAlexaff
Derek J. Schipper, Serxho Selmani, Luke Vanderzwet, Andrew J. Kukor

Bibliographic record

VenueSynlett · 2018
Typearticle
Languageen
FieldChemistry
TopicCatalytic C–H Functionalization Methods
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsChemistryRhodiumCatalysisCombinatorial chemistryOrganic electronicsOrganic synthesisCoupling reactionPolymerElectronic materialsNanotechnologyOrganic chemistryMaterials scienceTransistor

Abstract

fetched live from OpenAlex

Organic electronics has developed into a significant field of research and industry in the last decade. The progress has been enabled by the many advancements made in synthetic technologies, which allow for the design of a plethora of interesting material candidates. Poly(p-phenylenevinylene) derivatives (PPVs) are a particularly interesting class of polymers that were among the first to garner attention. However, due to their demanding syntheses, limited scope, and relative intolerance to heterocycles, PPVs have fallen out of popularity. New synthetic methods, such as direct C–H bond activation, have emerged that allow for the creation of polyheteroaromatics through the use of simpler starting materials than those used in traditional cross-coupling strategies. Here, we report an extension of a hydroarylation reaction to the synthesis of poly(heteroarylenevinylene) derivatives (PHAVs) containing various desirable heterocycles with Mn values ranging from 8 to 23 kDa without producing stoichiometric amounts of waste.

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 head0.274
Teacher spread0.254 · 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

Citations8
Published2018
Admission routes1
Has abstractyes

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