Bibliographic record
Abstract
[112621-93-9] C8H12CuLi2NSSn (MW 350.37) InChI = 1S/C4H3S.CN.3CH3.Cu.2Li.Sn/c1-2-4-5-3-1;1-2;;;;;;;/h1-3H;;3*1H3;;;;/q;;;;;-2;2*+1; InChIKey = XXCBBJNEMHIYGC-UHFFFAOYSA-N (reagent for transfer of the Me3Sn moiety to the β-carbon of α,β-unsaturated carbonyl compounds1, 2) Solubility: sol THF. Preparative Method: the higher-order cuprate (Me3Sn)(2-Th)Cu(CN)Li2 1 (Th = thienyl) can be prepared by the treatment of a solution of Hexamethyldistannane and thiophene in dry THF with Methyllithium, followed by addition of solid Copper(I) Cyanide (eq 1).1 Although the actual structure of the reagent is not known, formula 1 is used for convenience and to show stoichiometry. Analogous formulations have been employed for higher-order alkylcuprates.4 A solution of the reagent in THF is bright yellow in color. (1) Handling, Storage, and Precautions: the reagent should be prepared using dry THF under an inert atmosphere. Since organotin3 and cyanide compounds are toxic, work-up of reactions employing the reagent should be carried out in a fume hood.
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.
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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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".