An Expedient and Practical Method for the Synthesis of a Diverse Series of Cyclopropane α‐Amino Acids and Amines.
Bibliographic record
Abstract
A practical synthesis for the preparation of a diverse series of cyclopropane α-amino acids is\ndescribed. Nitrocyclopropane carboxylates can be readily prepared through treatment of α-nitroesters and iodobenzene diacetate or α-nitro-α-diazoesters with a Rh(II) catalyst and an olefin.\nReduction of the nitro group using zinc/HCl in <i>i</i>-PrOH affords substituted cyclopropane α-amino\nesters in modest to high yields (54−99%). A “one-pot” procedure involving sequential cyclopropanation and reduction is described. The method can also be applied to the preparation of\narylcyclopropyl amines (three examples).
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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) | 0.000 | 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) | 0.000 | 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".