Divalent Cobalt and Copper Coordination Complexes of κ2-N, O-Derivatives of (Z)-1-R-2-(2’-oxazolin-2’-yl)-eth-1-en-1-ates: Structure and Reactivity Patterns
Bibliographic record
Abstract
The synthesis and characterisation of a small library of Co and Cu derivatives (29 examples) incorporating the (Z)-1-R1-2-(4’,4’-R2-2’-oxazolin-2’-yl)-eth-1-en-1-ate (L: R1 = alkyl or aryl; R2 = H or Me) skeleton is described. This work includes six new derivatives of “Tohda’s Ligands”. In the case where R2 = H, solid-state stable Co(II) materials of formula Co(κ2-N,O-L)2 could, in some cases, be obtained following base-induced deprotonation of L+H and treatment with hydrated CoX2 salts. These complexes display redox induced solution decomposition behaviour giving Co(κ2-N,O-L)3 as one isolable product. Stable Cu(II) complexes could only be obtained in the case of for R1 = Ph and R2 = H. In the case of R2 = Me, distorted tetrahedral Co(II) compounds (also Co(κ2-N,O-L)2) are obtained as above (twelve examples). Square planar derivatives of Cu(II), of similar stoichiometry, are likewise isolated (eleven new examples). In contrast to the R2 = H reactions, all of these latter materials were found to be air-stable in solution or the solid phase. In total, 18 complexes have been characterised by single crystal X-ray diffraction. Molecular modelling (PM6(tm) and DFT) are also used to elucidate the molecular properties of selected complexes. Only a single Co complex (R1 = t-butyl and R2 = Me) of the library displays reversible one-electron redox properties.
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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".