Structural, surface and catalytic properties of pure and ZrO<sub>2</sub>‐doped nanosized cobalt‐manganese mixed oxides
Bibliographic record
Abstract
Abstract The role of ZrO2‐doping of CoO–Mn2O3 system on its structural, surface and catalytic properties was studied using XRD, EDX, nitrogen adsorption at −196°C and H2O2‐decomposition at 30–50°C. The results revealed that all solids calcined at 300–500°C consisted of nanosized Co2MnO4 as a major phase together with Co3O4 phase. The surface and bulk compositions of pure and variously doped solids were completely different from each other's. The concentration of surface manganese species was much higher than that of cobalt. The addition of the smallest amount of ZrO2 (0.75 mol%) much increased the surface concentration of manganese species. The increase of calcination temperature of all solids increased progressively the catalytic activity which increased by doping with the smallest amount of ZrO2 then decreased by doping with further amounts of ZrO2 dopant falling to values smaller than that measured for pure sample.
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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) | 0.000 | 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".