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Record W2333470936 · doi:10.1021/ma301247p

A Boron Subphthalocyanine Polymer: Poly(4-methylstyrene)-<i>co</i>-poly(phenoxy boron subphthalocyanine)

2012· article· en· W2333470936 on OpenAlexaff
Jeremy D. Dang, Jessica D. Virdo, Benoît H. Lessard, Elijah Bultz, Andrew S. Paton, Timothy P. Bender

Bibliographic record

VenueMacromolecules · 2012
Typearticle
Languageen
FieldMaterials Science
TopicPorphyrin and Phthalocyanine Chemistry
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBoronCopolymerPolymer chemistryPolymerMoietyPrepolymerChemistryStyreneMaterials scienceOrganic chemistryPolyurethane

Abstract

fetched live from OpenAlex

Boron subphthalocyanines have been explored as functional materials in a wide range of organic electronic applications including organic light-emitting diodes and organic solar cells. They have only, however, been studied as small molecules; there have been no reports of boron subphthalocyanine polymer(s) in the literature. Herein, the synthesis of the first boron subphthalocyanine-containing polymer, poly(4-methylstyrene)- co -poly(phenoxy boron subphthalocyanine), is reported along with its basic physical characterization/properties. The synthesis of the boron subphthalocyanine polymer was only possible via a postpolymerization functionalization approach, where the boron subphthalocyanine moiety is appended to the side chain of a styrene-based prepolymer. The three-step transformation begins with the nitroxide-mediated copolymerization of 4-methylstyrene and 4-acetoxystyrene to form poly(4-methylstyrene)- co -poly(4-acetoxystyrene). The acetoxy groups are subsequently deacetylated to afford hydroxyl groups prior to phenoxylation with bromo boron subphthalocyanine to afford the title polymer(s).

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 score0.004

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 head0.015
GPT teacher head0.261
Teacher spread0.246 · 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

Citations23
Published2012
Admission routes1
Has abstractyes

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