Synthesis of <i>Bis</i> -Schiff Base (1 <i>E</i> ,1′ <i>E</i> )-1,1′-(1,4-Phenylene)bis( <i>N</i> -(2,3-dihydrobenzo[ <i>b</i> ][1,4]dioxin-6-yl)methanimine): A Combined Experimental and Theoretical Approach
Bibliographic record
Abstract
]-dioxin-6-yl)-methanimine) (TPH14BZ). FT-IR, NMR, UV-visible, and fluorescence spectroscopy were employed to characterize the synthesized compound. Using the 6-311G-(d,p) basis set and the DFT/B3LYP method, the optimized molecular geometry of TPH14BZ was computed. Density functional theory (DFT) calculations were then employed to investigate the fundamental reactive properties. At the B3LYP/6-311G-(d,p) level, natural bond orbital (NBO) analysis was carried out to investigate electron density delocalization, intramolecular charge transfer (ICT), and intermolecular hydrogen bonding. Plots of the density of states (DOS) were examined and discussed. Molecular electrostatic potential (MEP), electron localization function (ELF), and localized orbital locator (LOL) studies were employed to supplement the analysis of frontier molecular orbitals (FMOs). Thermodynamic characteristics and the HOMO-LUMO energy gap were assessed. Visual information about the compound's reactivity patterns was obtained through topological and MEP analyses. NBO and charge distribution studies found localized charges surrounding the molecular moiety. The biologically active binding sites and their interaction profiles in the synthesized compound were validated through molecular docking studies.
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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".