Syntheses, Structures, Solution, and Solid-State <sup>27</sup>Al NMR Studies of Blue Luminescent Mononuclear Aluminum Complexes: Al(7-azain)<sub>2</sub>(7-azain-H)(CH<sub>3</sub>), Al(7-azain)<sub>3</sub>(7-azain-H), and Al(7-azain)(7-azain-H)(OCH(CF<sub>3</sub>)<sub>2</sub>)<sub>2</sub> (7-azain-H = 7-azaindole)
Bibliographic record
Abstract
Three novel mononuclear aluminum complexes, Al(7-azain) 2 (7-azain-H)(CH 3 ) ( 1 ), Al(7-azain) 3 (7-azain-H) ( 2 ), and Al(7-azain)(7-azain-H)(OCH(CF 3 ) 2 ) 2 ( 3 ), where 7-azain-H = 7-azaindole, have been synthesized and fully characterized structurally. The aluminum ion in all three compounds is in a tetrahedral environment. The neutral 7-azaindole ligand is coordinated to the aluminum center through the indole nitrogen site, resulting in a zwitterion form for all three compounds in the solid state. 1 H NMR studies established that in solution these compounds are dynamic, caused by an interconversion between the zwitterion isomer and a nonzwitterion isomer. All three compounds produce a blue light (λ max = 430−450 nm) upon irradiation by UV light. 27 Al solution and solid-state NMR studies on all three compounds were performed. The data of 27 Al solution NMR are in agreement with those of 27 Al solid NMR. Quadrupole parameters of 27 Al in all three compounds have been obtained.
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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) | 0.002 | 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".