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Record W2126476349 · doi:10.6060/mhc130224g

Syntheses of Bioinspired Trisporphyrin Scaffoldings from Stepwise Suzuki Coupling Strategies

2013· article· en· W2126476349 on OpenAlexafffund
Jean‐Michel Camus, Pierre D. Harvey, Roger Guilard

Bibliographic record

VenueMacroheterocycles · 2013
Typearticle
Languageen
FieldMaterials Science
TopicPorphyrin and Phthalocyanine Chemistry
Canadian institutionsUniversité de Sherbrooke
FundersNatural Sciences and Engineering Research Council of CanadaCentre National de la Recherche ScientifiqueAgence Nationale de la Recherche
KeywordsCoupling (piping)Suzuki reactionChemistryComputer scienceMaterials scienceOrganic chemistryCatalysisComposite materialPalladium

Abstract

fetched live from OpenAlex

This review presents the synthetic approach for the design of tris(macrocycles) as bio-inspired models for light harvesting devices in plants and photosynthetic bacteria based on cofacial bisporphyrins and a porphyrin unit attached as a side arm. Two types of tris(porphyrins) are described herein depending on the nature of the chromophores of the cofacial bis(porphyrins). The synthetic methodology of a series of trimeric models relies on the versatility of the porphyrin ring acting as a building block, and on successive Suzuki coupling reactions. Various pathways to access such models are presented as the selective and stepwise substitution processes involving different borylated porphyrin synthons can provide either meso-meso-linked linear intermediates or cofacial homo-or hetero-bismacrocycle units. This efficient methodology also allows for the flexibility and fine tuning since different bridges and spacers can be used in the designed trimers.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.005
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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 communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.015
GPT teacher head0.229
Teacher spread0.214 · 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 teacher head, not a consensus.

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

Citations9
Published2013
Admission routes2
Has abstractyes

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