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Record W1743775008 · doi:10.1002/ejoc.201402218

Application of the Palladium‐Catalysed Norbornene‐Assisted Catellani Reaction Towards the Total Synthesis of (+)‐Linoxepin and Isolinoxepin

2014· article· en· W1743775008 on OpenAlexaff
Zafar Qureshi, Harald Weinstabl, Marcel Suhartono, Hongqiang Liu, Pierre Thesmar, Mark Lautens

Bibliographic record

VenueEuropean Journal of Organic Chemistry · 2014
Typearticle
Languageen
FieldChemistry
TopicCatalytic C–H Functionalization Methods
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsChemistryPalladiumEnantioselective synthesisTotal synthesisCombinatorial chemistryArylIodideHeck reactionOrganic chemistryAldol reactionAlkylAcrylateAldol condensationCatalysisPolymerMonomer

Abstract

fetched live from OpenAlex

Abstract Our ongoing effort towards the development of highly selective transition‐metal‐catalysed C–H activation processes has led to the expansion of the Catellani reaction. In a Pd0/PdII/PdIV‐catalysed domino reaction, an aryl iodide, alkyl iodide and tert‐butyl acrylate were combined to synthesize the carbon framework of the novel lignan (+)‐linoxepin. The enantioselective synthesis highlights the work accomplished in our group and provides an excellent procedure for the reliable and scalable synthesis of architecturally complex scaffolds. This report outlines the synthetic approaches towards this interesting class of biologically active molecules. After the key Catellani/Heck reaction, our synthesis features a Leimeux–Johnson oxidation and a titanium tetrachloride mediated aldol condensation. Finally, a tuneable Mizoroki–Heck reaction was performed to furnish not only the natural product (+)‐linoxepin but also its isoform, which we have named isolinoxepin.

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 score0.005

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)0.0010.000

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 head0.228
Teacher spread0.213 · 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

Citations45
Published2014
Admission routes1
Has abstractyes

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