ZnO crystalline nanowires array for application in gas ionization sensor
Bibliographic record
Abstract
The air monitoring becomes daily necessity not only in industrial environment and in aerospace applications but also in a living milieu as a consequence of the gas pollution. For detection of gaseous pollutants gas sensors are employed. In this work the successful p-type and n-type ZnO nanowires (NWs) were accomplished during electrochemical deposition. P-type ZnO NWs doped with Ag dopant were achieved with omitted post annealing procedure. Also, the novel gas ionization sensor (GIS) with integrated p-type ZnO NWs as the anode is proposed. P-type ZnO NWs-based gas sensor's characteristics compared with the gold NWs-based GIS, which was developed and reported by our group previously. It showed the comparable breakdown voltages in inert gas (Ar) atmosphere. P-type ZnO NWs-based GIS demonstrated good repeatability. The practical and low cost p-type ZnO NWs-based gas sensor presented in this article shows potential for future implementation in real world gas sensors' applications.
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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".