Alkaline-Earth Derivatives of Diphenylphosphine–Borane
Bibliographic record
Abstract
Treatment of β-diketiminato (BDI = HC{C(CH 3 )Ndipp)} 2 where dipp = 2,6- i Pr 2 C 6 H 3 ) magnesium butyl [(BDI)MgBu] ( I ) and calcium hexamethyldisilazide [(BDI)Ca{N(SiMe 3 ) 2 }] ( II ) complexes with equimolar quantities of diphenylphosphine–borane, Ph 2 PH·BH 3, results in the formation of the respective alkaline earth (Ae) phosphidoborane derivatives [(BDI)Mg(Ph 2 PBH 3 )] 2 ( 6a ) and [(BDI)Ca(Ph 2 PBH 3 )] ( 7a ). Although satisfactory single crystals of 7a could not be obtained, 6a was crystallographically characterized and both compounds display similar NMR spectra. The dimeric Ae-hydride complexes [(BDI)AeH] 2 ( IIIa, Ae = Mg; IIIb, Ae = Ca) react with substoichiometric quantities of Ph 2 PH·BH 3, allowing the crystallization of the dimeric Mg and trimeric Ca phosphidoborane species [(BDI)Mg(H)(H 3 BPPh 2 )Mg(BDI)] ( 8 ) and [{(BDI)Ca} 3 (H)(H 3 BPPh 2 ) 2 ] ( 9 ). In the absence of coordinating Lewis bases, compounds 6a, 7a, 8, and 9 display dynamic solution-state behavior (in benzene and toluene), while addition of THF furnishes the monomeric adducts [(BDI)Mg(H 3 BPPh 2 )·THF] ( 6b ) and [(BDI)Ca(H 3 BPPh 2 )·THF] ( 7b ). Addition of Ph 2 PH·BH 3 to compound 6a results in BH 3 transfer to eliminate Ph 2 PH and generate the phosphinodiboronate complex [(BDI)Mg{(H 3 B) 2 PPh 2 }] 2 ( 10 ) in preference to dehydrocoupling of the phosphidoborane and phosphine–borane reagents.
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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) | 0.003 | 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".