MétaCan
Menu
Back to cohort
Record W2125598210 · doi:10.1002/9781119953678.rad066

Persistent and Stable Silyl Radicals

2012· other· en· W2125598210 on OpenAlexfundno aff
Boris Tumanskii, Miriam Karni, Yitzhak Apeloig

Bibliographic record

Venuenot available
Typeother
Languageen
FieldChemistry
TopicSynthesis and characterization of novel inorganic/organometallic compounds
Canadian institutionsnot available
FundersIsrael Science FoundationMinistère de l'Économie, de la Science et de l'Innovation - Québec
KeywordsSilylationRadicalElectron paramagnetic resonanceChemistrySubstituentPhotochemistryOrganic chemistryCatalysisNuclear magnetic resonance

Abstract

fetched live from OpenAlex

Abstract Recent developments in the study of silyl radicals have been spectacular. Two decades ago, only short‐lived silyl radicals were known and only a few were spectroscopically characterized. Since then, many new types of persistent and stable silyl radicals were synthesized, isolated, and characterized by electron paramagnetic resonance (EPR) spectroscopy, and several also by X‐ray crystallography. These exciting developments are reviewed in this article. The review consist of five sections: 1. Introduction; 2. Tris(silyl) substituted silyl radicals; 3. Bis(silyl) silicon‐centered radicals X(R3Si)2Si·, where X is a nonsilyl substituent; 4. Anion radicals and metal‐substituted silyl radicals; 5. Conclusions and outlook. The article overviews the methods for the generation and synthesis of silyl radicals, the factors that control their stability and structure, and their EPR parameters. The isolation of stable silyl radicals, anion radicals, and diradicals opens new opportunities for their application as new materials with unique chemical, photophysical, and magnetic properties.

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 score0.004
Threshold uncertainty score0.012

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 communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.016
GPT teacher head0.211
Teacher spread0.195 · 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

Citations3
Published2012
Admission routes1
Has abstractyes

Explore more

Same topicSynthesis and characterization of novel inorganic/organometallic compoundsFrench-language works237,207