NO<sub>x</sub> Sensing with n-type WO<sub>3</sub> - CuWO<sub>4</sub> Composites
Bibliographic record
Abstract
Thin-films of WO3 : CuWO4 composites were used as sensing materials for NO monitoring. The thin-films were prepared by the pulsed laser deposition technique using formulations with molar ratio spanning from 1 to 0. The sensing films were characterized by depth-profilometry, X-ray diffraction (XRD) and electron transport measurements. The transduction mechanism and its relation to the chemical surroundings, including temperature effects, were studied by monitoring the changes in electronic conductance (resistance) with temperature, gas-phase analyte chemical nature and concentration. Sensor performance studies were carried out. It was found that the best sensing material was composed of a nanometric layer of CuWO4. This formulation offers fast response and short recovery times towards both O2 and NO, with a response proportional to analyte concentration and excellent reproducibility.
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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".