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Record W2143270214 · doi:10.1016/j.crci.2010.04.023

Structure–property relationships of acylated asymmetric dithienophospholes

2010· article· en· W2143270214 on OpenAlexafffund
Terry J. Gordon, Lisa D. Szabo, Thomas Linder, Curtis P. Berlinguette, Thomas Baumgartner

Bibliographic record

VenueComptes Rendus Chimie · 2010
Typearticle
Languageen
FieldChemistry
TopicSynthesis and characterization of novel inorganic/organometallic compounds
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of CanadaAlberta Innovates - Technology FuturesCanada School of Energy and EnvironmentUniversity of Calgary
KeywordsBathochromic shiftMolar absorptivityAcylationChemistryAbsorbanceAbsorption (acoustics)Lewis acids and basesExtinction (optical mineralogy)CatalysisPhotochemistryPolymer chemistryOrganic chemistryFluorescenceMaterials scienceMineralogyChromatography

Abstract

fetched live from OpenAlex

Friedel-Crafts acylation was found to be an effective way to selectively access mono-functionalized dithienophospholes. Absorption and emission properties of the acylated compounds exhibited high extinction coefficients, relative to unsubstituted dithienophosphole and bathochromic shifts when in the presence of Lewis-acids, e.g. , AlCl 3 and BF 3 , effectively demonstrating that the emissive characteristics could be tuned. Subsequent treatment of the asymmetric mono-substituted compounds with N-bromosuccinimide, yielded materials that were later employed in Ni-catalyzed Yamamoto cross-coupling reactions. The resulting cross-coupled material exhibited a substantial increase in its extinction coefficient as well as a further red-shifted absorbance and emission profile, relative to the mono-functionalized phosphole.

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 score0.005

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)0.0020.000

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 head0.020
GPT teacher head0.216
Teacher spread0.196 · 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

Citations11
Published2010
Admission routes2
Has abstractyes

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