Coordination to RMg<sup>+</sup> and RZn<sup>+</sup> Cations<sup>1</sup>
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.002 |
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 it