Tetrakis(triphenylphosphine)palladium(0)
Bibliographic record
Abstract
[14221-01-3] C72H60P4Pd (MW 1155.62) InChI = 1S/4C18H15P.Pd/c4*1-4-10-16(11-5-1)19(17-12-6-2-7-13-17)18-14-8-3-9-15-18;/h4*1-15H; InChIKey = NFHFRUOZVGFOOS-UHFFFAOYSA-N (catalyzes carbon–carbon bond formation of organometallics with a wide variety of electrophiles;2 in combination with other reagents, catalyzes the reduction of a variety of functional groups;3 catalyzes carbon–metal (Sn, Si) bond formation;4 catalyzes deprotection of the allyloxycarbonyl group5) Physical Data: mp has been reported to vary between 100–116 °C (dec) and is not a good indication of purity. Solubility: insol saturated hydrocarbons; moderately sol many other organic solvents including CHCl3, DME, THF, DMF, PhMe, benzene. Form Supplied in: yellow, crystalline solid from various sources. The quality of batches from the same source have been noted to be highly variable and can dramatically alter the expected reactivity. Preparative Methods: readily prepared by the reduction of PdCl2(Ph3P)26 with Hydrazine or by the reaction of Tris(dibenzylideneacetone)dipalladium–Chloroform with Triphenylphosphine.7 Handling, Storage, and Precautions: is air and light sensitive and should be stored in an inert atmosphere in the absence of light. It can be handled for short periods quickly in the air but best results are achieved by handling in a glove box or glove bag under argon or nitrogen.
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 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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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 teacher head, 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".