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Record W4383186650 · doi:10.1039/d3cs00294b

Frustrated Lewis pair chemistry of CO

2023· review· en· W4383186650 on OpenAlexafffund
Douglas W. Stephan

Bibliographic record

VenueChemical Society Reviews · 2023
Typereview
Languageen
FieldChemistry
TopicOrganoboron and organosilicon chemistry
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaNingbo UniversityUniversity of Toronto
KeywordsReactivity (psychology)Frustrated Lewis pairChemistryLewis acids and basesNanotechnologyCombinatorial chemistryOrganic chemistryMaterials scienceCatalysisMedicine

Abstract

fetched live from OpenAlex

Transition metal species readily capture and react with CO as the metal can act both as an acceptor and donor of electron density. In contrast, such a situation is less common in the main group and thus far fewer examples of main group CO adducts and their subsequent reactivity have been studied. In this review, we focus on the application of the concept of Frustrated Lewis Pairs (FLPs) to develop main group chemistry of CO. Specifically, we address reactions of FLPs that illustrate the ability to capture CO in addition to subsequent reactivity involving reduction with a variety of reagents. These developments illustrate that the donation and acceptance of electron density provided by FLPs is an alternative strategy to advance the reactivity of CO. Such insights augur well for future advances in the homogeneous chemistry of CO.

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 score0.001
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
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.085
GPT teacher head0.344
Teacher spread0.260 · 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

Citations38
Published2023
Admission routes2
Has abstractyes

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Same venueChemical Society ReviewsSame topicOrganoboron and organosilicon chemistryFrench-language works237,207