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Record W4243088410 · doi:10.1002/ange.201808509

Rhodium‐Catalyzed Enantioselective Defluorinative α‐Arylation of Secondary Amides

2018· article· en· W4243088410 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAngewandte Chemie · 2018
Typearticle
Languageen
FieldChemistry
TopicAdvanced Synthetic Organic Chemistry
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsStereocenterRhodiumEnantioselective synthesisChemistryCatalysisOlefin fiberReactivity (psychology)DieneCombinatorial chemistryOrganic chemistryAcceptor

Abstract

fetched live from OpenAlex

Abstract We exploited the reactivity of an electronically biased Michael acceptor to perform a defluorinative α‐arylation reaction using a chiral diene(L*)‐rhodium catalyst. Through this methodology, we are able to obtain various secondary amides, containing a tertiary α‐stereocenter and a β,γ‐unsaturated gem ‐difluoro olefin, with excellent enantioselectivities. This methodology addresses the limitations of the previously described α‐arylation methods to construct stereo‐labile tertiary α‐stereocenters. Further investigation of the reaction via in situ 19 F NMR monitoring suggests that the formation of the product leads to the inhibition of the active rhodium 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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.159
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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)0.0040.000

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 head0.011
GPT teacher head0.250
Teacher spread0.239 · 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