Structural Study of Acidic Metallocavitands and Characterization of their Interactions with Lewis Bases
Bibliographic record
Abstract
We report the synthesis and characterization of tantalum-boronate trimetallic clusters of the general formula {[Cp*Ta](3)(mu(2)-RB(O)(2))(3)(mu(2)-OH)(mu(2)-O)(2)(mu(3)-OH)} (R = i-Bu (Ta(3)-iBu), C(6)H(5) (Ta(3)-Ph), 2,5-(CH(3))(2)(C(6)H(3)) (Ta(3)-2,5Me), 3,5-(CH(3))(2)(C(6)H(3)) (Ta(3)-3,5Me), and 3,5-(CF(3))(2)(C(6)H(3)) (Ta(3)-3,5CF(3))). Three of these complexes feature a Lewis acid type cavity allowing for substrate binding in both the solid and the liquid state using a unique electrostatic interaction and a hydrogen bond. We also report the synthesis of {[Cp*Ta](2)(mu(2)-MesB(O)(2))(2)[MesB(OH)(O)](2)(mu(2)-OH)(2)} (Mes = 2,4,6-(CH(3))(3)C(6)H(2) (Ta(2)-Mes)). All complexes have been characterized by NMR and X-ray diffraction studies, and the steric and electronic effects on the boronate ligands have been investigated. The physical properties of the interaction between the tantalum-boronate clusters and tetrahydrofuran and acetone have been studied by thermogravimetric analysis, FT-IR, and Density Functional Theory calculations to characterize the molecular interactions in the resulting adducts.
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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 | 0.000 |
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".