1,2,3-Triazolylidene ruthenium(<scp>ii</scp>)-cyclometalated complexes and olefin selective hydrogenation catalysis
Bibliographic record
Abstract
Silver(i) 1,2,3-triazol-5-ylidenes [(RCH(2)C(2)N(2)(NMe)Ph)(2)Ag][AgCl(2)] (R = Ph 3a, C(6)H(2)iPr(3) 3b, C(6)H(2)Me(3) 3c) and [(PhCH(2)C(2)N(2)(NMe)R)(2)Ag][AgCl(2)] (R = C(6)H(4)Me 3d, C(6)H(4)CF(3) 3e) were synthesized and subsequently treated with RuHCl(PPh(3))(3) and RuHCl(H(2))(PCy(3))(2). The reaction 3a of with RuHCl(PPh(3))(3) gave RuHCl(PPh(3))(2)(PhCH(2)C(2)N(2)(NMe)Ph) (4a1) as the minor product and the cyclometalated complex RuCl(PPh(3))(2)(PhCH(2)C(2)N(2)(NMe)C(6)H(4)) (4a2) as the major product. However, similar reaction with 3b selectively formed the cyclometalated complex RuCl(PPh(3))(2)((C(6)H(2)iPr(3))CH(2)C(2)N(2)(NMe)C(6)H(4)) (4b2). Similarly the silver(i) triazolylidenes 3a and 3b were reacted with RuHCl(H(2))(PCy(3))(2); gave RuHCl(PCy(3))(2)(PhCH(2)C(2)N(2)(NMe)Ph) (5a2), RuCl(PCy(3))(2)(PhCH(2)C(2)N(2)(NMe)C(6)H(4)) (5a2) and RuCl(PCy(3))(2)((C(6)H(2)iPr(3))CH(2)C(2)N(2)(NMe)C(6)H(4)) (5b2), respectively. Species 3c, 3d and 3e resulted in the cyclometalated complexes (5c2, 5d2 and 5e2) as the major products as well as the ruthenium-hydride complexes (5c1, 5d1 and 5e1) as the minor products. The cyclometalated species are derived from the ruthenium-hydride complexes via C(sp(2))-H activation. These Ru-complexes were shown to act as hydrogenation catalyst precursors for olefinic substrates including those containing a variety of functional groups.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".