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Record W1885694920 · doi:10.1039/c5ob01171j

An efficient synthesis of isoquinolines via rhodium-catalyzed direct C–H functionalization of arylhydrazines

2015· article· en· W1885694920 on OpenAlexaff
Sai Zhang, Daorui Huang, Guangyang Xu, Shengyu Cao, Rong Wang, Shiyong Peng, Jiangtao Sun

Bibliographic record

VenueOrganic & Biomolecular Chemistry · 2015
Typearticle
Languageen
FieldChemistry
TopicCatalytic C–H Functionalization Methods
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsChemistryRhodiumMoietyCatalysisHydrazine (antidepressant)Surface modificationBond cleavageCombinatorial chemistryMetalCleavage (geology)Functional groupOrganic chemistryPhysical chemistry

Abstract

fetched live from OpenAlex

A highly efficient rhodium-catalyzed C-H activation of arylhydrazines and coupling with internal alkynes has been realized under mild conditions. The isoquinolines have been prepared in moderate to excellent yields in high efficiency. This methodology features the use of readily available starting materials, and a simple hydrazine moiety as a directing group, in the absence of an external metal co-oxidant under an air atmosphere. The C-H bond activation and the N-N bond cleavage have been successively realized under mild conditions.

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 score0.001
Threshold uncertainty score0.004

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 communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.258
Teacher spread0.244 · 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

Citations41
Published2015
Admission routes1
Has abstractyes

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