Metal‐Catalyzed Multicomponent Synthesis of Heterocycles
Bibliographic record
Abstract
Transition metal-catalyzed multicomponent coupling reactions (MCRs) have been developed using a variety of reaction platforms. This chapter focuses on general variants of these reactions that target heterocyclic products. It highlights catalytic transformations that lead to three or more bonds from available and tunable substrates, as these can provide routes to rapidly assemble complex heterocyclic products in an efficient fashion. A common platform exploited in metal-catalyzed multicomponent coupling reactions involves palladium-catalyzed cross-coupling, Heck coupling, or related catalytic carbon–carbon and carbon–heteroatom bond-forming transformations. The cycloaddition of two unsaturated fragments to generate a five-membered ring metallacycle is a key step in a number of important classes of multicomponent reactions, such as alkyne trimerization and Pauson–Khand reactions to form carbocycles. Dipolar cycloaddition reactions represent a useful general approach to assemble five-membered ring heterocycles. Multicomponent variants of these reactions often employ transition metal catalysis to mediate the efficient assembly of the 1,3-dipole.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.106 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".