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Record W2724230796 · doi:10.1021/acs.organomet.7b00344

Experimental and Computational Evidence for 1,4-Diradical Intermediates in Reactions of Cobalt Fluorocarbene Complexes with Terminal Aryl-alkynes to give Metallacyclobutenes

2017· article· en· W2724230796 on OpenAlexafffund
Graham M. Lee, Alicia S. C. Leung, Daniel J. Harrison, Ilia Korobkov, Russell P. Hughes, R. Tom Baker

Bibliographic record

VenueOrganometallics · 2017
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicFluorine in Organic Chemistry
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsOntario Ministry of Economic Development and Innovation
KeywordsDiradicalChemistryCobaltCycloadditionCyclopentadienyl complexReactivity (psychology)ArylNuclear magnetic resonance spectroscopyMoleculeReactive intermediateStereochemistryMedicinal chemistryComputational chemistryPhotochemistryCatalysisOrganic chemistry

Abstract

fetched live from OpenAlex

Cobalt fluorocarbene complex CpCo(═CF(CF 3 ))(PPh 2 Me) (Cp = η 5 -cyclopentadienyl) reacts with para -substituted phenylacetylenes to furnish partially fluorinated cobaltacyclobutene complexes [Cp(PPh 2 Me)Co{κ 2 -C(Ar)═CHCF(CF 3 )}], which were isolated and characterized by elemental analysis, multinuclear NMR and UV–vis spectroscopy, and X-ray crystallography. The scope of reactivity between CpCo(═CFR F )(L) and various alkynes was explored. The detailed pathway for the [2 + 2] cycloaddition reaction was investigated using a combination of kinetic studies and DFT computational chemistry (M06/def2-TZVP), with a 1,4 diradical species identified as the key intermediate.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0080.000

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 head0.153
GPT teacher head0.460
Teacher spread0.307 · 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

Citations15
Published2017
Admission routes2
Has abstractyes

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