Aktivierung von Bor‐ und Siliciumreagentien bei stereokontrollierten Allylierungen
Bibliographic record
Abstract
Abstract Bor‐ und Silicium‐Allylierungsreagentien sind bei stereokontrollierten Synthesen zwar weit verbreitet, ihre Anwendung unterliegt aber einer Reihe von Einschränkungen, die ihre Weiterentwicklung als Synthesereagentien für nucleophile Additionen an Carbonylverbindungen und Iminderivate verzögert haben. Zu diesen Einschränkungen gehören die geringe Reaktivität und Diastereoselektivität von Allyltrialkylsilanreagentien und das Fehlen von Katalysatoren für die Aktivierung und substöchiometrische Kontrolle der Enantioselektivität bei Additionen von Allylborreagentien. Um wirksamere und allgemein anwendbare Methoden zur Kontrolle der absoluten Konfiguration in den entstehenden Homoallylalkoholen zu entwickeln, sind neue Ansätze erforderlich, die sich auf das Problem der Aktivierung von Allylbor‐ und Allylsiliciumreagentien konzentrieren. Dieser Kurzaufsatz beschreibt eine Reihe neuer Methoden, die zur Lösung dieses Problems entwickelt wurden.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.003 | 0.001 |
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.
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 source (direct Gemma or distilled Codex), 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".