Applications and reactivity trends of homoleptic p-block metal amido reagents
Bibliographic record
Abstract
This review aims to develop an understanding of reactivity trends of p-block metal bases M(NR2)n (M = Sn: n = 2; M = Al, Ga, As, Sb: n = 3) towards organic substrates EHy containing one or more E-H bonds (E = B, N, P, S). These compounds not only act as good bases for the deprotonation of E-H bonds but recent advances in p-block amido chemistry have shown that, in addition, they can effect the dehydrogenic homo-coupling of primary phosphines and amines to give E-E bonded products. They have also been found to be active in stoichiometric and catalytic dehydrocoupling of amine-boranes, which has direct applications in hydrogen storage devices, revealing that these p-block catalysts offer potential alternatives to the extensive range of expensive and often highly toxic heavy metal catalysts. This perspective analyses three distinct reactivity patterns of p-block metal bases; deprotonation, stoichiometric dehydrocoupling and catalytic dehydrocoupling and attempts to rationalise reactivity in relation to the redox stability of the p-block metal.
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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 | 0.000 | 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) | 0.001 | 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".