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Record W2413535451 · doi:10.1021/acs.organomet.6b00362

Selective Placement of Bromide and Pinacolboronate Groups about a Tellurophene: New Building Blocks for Optoelectronic Applications

2016· article· en· W2413535451 on OpenAlexafffund
William Torres Delgado, Fatemeh Shahin, Michael J. Ferguson, Robert McDonald, Gang He, Eric Rivard

Bibliographic record

VenueOrganometallics · 2016
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicOrganoselenium and organotellurium chemistry
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaCanada Foundation for InnovationAlberta InnovatesAlberta Innovates - Technology Futures
KeywordsChemistryBromideStille reactionChalcogenMonomerConjugated systemThiopheneCombinatorial chemistryPolymerOrganic chemistry

Abstract

fetched live from OpenAlex

Selective protodeboronation of preformed phosphorescent di- and tetrapinacolboronate (BPin)-substituted tellurophenes controllably affords new tellurophene products that show photoluminescence or, in the case of tellurophenes lacking BPin groups at the 2,5-positions, nonemissive behavior; for comparison the protodeboronation of select thiophene and selenophenes is also reported. The resulting BPin-appended tellurophenes are promising candidates for postfunctionalization via Suzuki–Miyaura cross-coupling and can be effectively converted into their respective brominated tellurophene counterparts via treatment with excess CuBr 2 . It is expected from prior studies that these brominated tellurophenes will be suitable building blocks (and monomers) for the preparation of conjugated oligomers and polymers featuring narrower optical band gaps in relation to their lighter chalcogen analogues; in this regard preliminary Stille coupling chemistry is reported.

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 score0.002
Threshold uncertainty score0.006

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)0.0020.001

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 head0.033
GPT teacher head0.355
Teacher spread0.322 · 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

Citations28
Published2016
Admission routes2
Has abstractyes

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