Low temperature synthesis of MgAl<sub>2</sub>O<sub>4</sub> Spinel through sol-gel technique and its characterization
Bibliographic record
Abstract
MgAl2O4 spinel was synthesized by a novel route method of sol-gel technique. Spinel powders were sintered at various temperatures to investigate the phase contents and crystallinity. The characterization of the samples was carried out by using various techniques. The formation of the spinel phase was inferred by differential thermal analyzer, while crystalline and structural properties were studied by X-ray diffraction, Fourier transform infrared spectroscopy and magic angle spinning nuclear magnetic resonance (MAS-NMR). These studies infer the formation of spinel phase at much lower temperature (around 375 °C) and order–disorder transition in the spinel around 700 °C. The studies also indicate the formation of the spinel with better crystallinity. The inversion parameter was also calculated using MAS-NMR and its value is found to be approximately 0.30 for a sample sintered around 1000 °C.
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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) | 0.001 | 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 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".