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Record W2883330304 · doi:10.1039/c8ob01426d

Indium(<scp>iii</scp>) as π-acid catalyst for the electrophilic activation of carbon–carbon unsaturated systems

2018· review· en· W2883330304 on OpenAlexfundno aff
José Pérez Sestelo, Luis A. Sarandeses, M. Montserrat Martı́nez, Lorena Alonso-Marañón

Bibliographic record

VenueOrganic & Biomolecular Chemistry · 2018
Typereview
Languageen
FieldChemistry
TopicCatalytic Alkyne Reactions
Canadian institutionsnot available
FundersInstitute of Musculoskeletal Health and ArthritisSecretaría de Estado de Investigación, Desarrollo e InnovaciónEuropean Regional Development FundConsellería de Cultura, Educación e Ordenación Universitaria, Xunta de Galicia
KeywordsIndiumCatalysisChemistryCarbon fibersElectrophileOrganic chemistryMaterials scienceComposite number

Abstract

fetched live from OpenAlex

This review focuses on the utilization of indium(iii) as π-acid for the activation of C-C unsaturated bonds in organic synthesis. In addition to its well-known σ-coordination with carbonyl derivatives, indium(iii) undergoes efficient π-coordination with unsaturated systems to trigger nucleophilic addition. Accordingly, indium(iii) halides and salts (InX3, X = Cl, Br, I, OTf, ONf, NTf2) have been reported as useful catalysts for a broad range of carbon-carbon and carbon-heteroatom bond formation reactions, including hydrofunctionalization (hydroarylation, hydroamination, hydroalkoxylation, and hydrothiolation), enyne cycloisomerization, and related reactions. In these reactions the counterion has a significant effect on the catalytic activity, and the development of novel In(iii) complexes and the generation of highly electrophilic cationic indium(iii) species has increased its synthetic applications as a π-acid catalyst.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.014
GPT teacher head0.258
Teacher spread0.245 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations77
Published2018
Admission routes1
Has abstractyes

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