Coordination to RMg<sup>+</sup> and RZn<sup>+</sup> Cations<sup>1</sup>
Bibliographic record
Abstract
Addition of a second coordinating agent (coord*) to a solution of RM(coord) + A - (R = ethyl or neopentyl, M = Zn or Mg, A - = 1,2,3,4-tetraphenylcyclopentadienyl) can provide equilibrium mixtures of these compounds, coord, and RM(coord*) + A - . This exchange with RMg(coord) + requires the addition of a small amount of R 2 Mg, but added R 2 Zn is not necessary for exchanges with RZn(coord) + . The equilibrium constants provide information about the relative abilities of different coordinating agents to coordinate to RM + and reveal significant differences between coordination to RMg + and RZn + . Reactions of RM(coord) + with R‘ 2 M (R = ethyl or neopentyl for RMg(coord) + and ethyl, isopropyl, tert -butyl, neopentyl, or p -methylphenyl for RZn(coord) + ) provide equilibrium mixtures of these components, R‘M(coord) +, and R 2 M. The equilibrium constants provide information about the effect of R on stability. An X-ray structure of p -methylphenylzinc(2,5,8,11-tetramethyl-2,5,8,11-tetraazadodecane) + shows that just three of the N atoms are coordinated to Zn. The effects of coord, R, and metal on RM(coord) + stability are discussed, and the abilities of coordinating agents to coordinate to RM +, to slow allylic isomerization of (CH 2 CMeCH 2 ) 2 Zn, and to convert R 2 Zn to RZn(coord) + are compared.
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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) | 0.004 | 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".