Indium Oxide Doped Polyaniline for Detection of Formaldehyde
Bibliographic record
Abstract
Abstract Polyaniline (PANI) and a polyaniline derivative (poly (2,5‐dimethyl aniline)) are evaluated for their sensitivity towards formaldehyde. Among the two polymer backbones evaluated, polyaniline seems more sensitive towards formaldehyde. Therefore, to further enhance sensitivity towards formaldehyde, polyaniline is doped with different weight percentages of indium oxide and further evaluated for its sensing capabilities such as sensitivity, selectivity, and stability. It is found that PANI with 1.25 wt% of In2O3 is most sensitive towards formaldehyde, while PANI with 5 wt% of In2O3 is most selective towards formaldehyde over benzene interferent. It is observed that sensitivity and selectivity trends for PANI doped with different wt% of In2O3 are reverse of each other. All sensing materials are found stable.
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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".