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Record W2024357111 · doi:10.1021/ol026579i

An Expedient Enantioselective Route to Diaminotetralins:  Application in the Preparation of Analgesic Compounds

2002· article· en· W2024357111 on OpenAlexaff
Mark Lautens, Keith Fagnou, Valentin Zunic

Bibliographic record

VenueOrganic Letters · 2002
Typearticle
Languageen
FieldChemistry
TopicAsymmetric Synthesis and Catalysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsChemistryEnantioselective synthesisRhodiumRegioselectivityRing (chemistry)Allylic rearrangementCatalysisTotal synthesisCombinatorial chemistryStereocenterTetralinStereochemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Advances to the rhodium-catalyzed asymmetric ring-opening protocol have allowed this methodology to be extended to azabicyclic alkenes, the first time that rhodium has been used in allylic functionalizations with nitrogen leaving groups. The product diaminotetralins are important medicinal compounds. The synthetic utility of this methodology has been demonstrated in the total synthesis of an analgesic compound where the tetralin core, the regiochemistry, and the relative and absolute stereochemistry are all established in the ring-opening step. [reaction: see text]

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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.239
Teacher spread0.228 · 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

Citations106
Published2002
Admission routes1
Has abstractyes

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