Bimolecular Extrusion of TeR<sub>2</sub> from β-Diketiminato Supported Scandium Bis-tellurolates
Bibliographic record
Abstract
Reaction of the well-defined, base-free dialkyl scandium compounds LnSc(CH2SiMe3)2 supported by the β-diketiminato ligands ArNC(R)CHC(R)NAr (Ar=2,6-diisopropyl; R=Me, L1; R=tBu, L2) with two equivalents of nBu3P=Te gives the bis-tellurolate complexes LnSc(TeCH2SiMe3)2, 1 b (L1) and 2 b (L2). Tellurolate 2 b was isolated and fully characterized, including an X-ray structure analysis, and exhibits two chemically distinct tellurolate ligands in solution on the NMR time scale. Tellurolate 1 b is only moderately stable and decomposes with elimination of two equivalents of Te(CH2SiMe3)2 to form the dimeric bis-telluride 1 d. This compound was characterized by X-ray crystallography and elemental analysis. In contast, tellurolate 2 b decomposes with loss of only one equivalent of Te(CH2SiMe3)2, leading to the formation of a dinuclear complex with one bridging telluride unit joining two L2Sc(TeCH2SiMe3) fragments. This compound was also structurally characterized. The solution behavior of this material is complex, as it exists as three conformational isomers that undergo slow exchange on the NMR time scale. The production of dimer 2 c, along with the results of crossover experiments, suggest strongly that TeR2 elimination from these bis-tellurolates is bimolecular.
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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) | 0.002 | 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".