Cobalt Doped Sm<sub>0.95</sub>Ce<sub>0.05</sub>FeO<sub>3-δ</sub> for Detection of Reducing Gases
Bibliographic record
Abstract
The newly developed Sm0.95Ce0.05Fe1-xCoxO3-δ perovskites were assessed as sensors for reducing gases. The solid state sensors were prepared in the form of pellets. Sensors with larger particle size and reduced grain boundaries are obtained as the concentration of cobalt is increased. The sensor's surface is enriched with Sm and Co, but the Sm concentration decreases with an increase in cobalt content. The introduction of cobalt in the perovskite lattice results in an increase in lattice oxygen and a decrease in surface adsorbed oxygen. The electrical conductivity responses toward H2, CO and CH4 (1-5%v/v) were measured in air and at different temperatures. The cobalt doping has improved the response to such an extent that H2, CO and CH4 can be detected at room temperature. Response and recovery time of these sensors are associated with surface chemical composition and surface morphology
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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 teacher head, 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".