Sensitivity Analysis of the Response of a Gas Sensor in a Microfluidic-Based Gas Analyzer
Bibliographic record
Abstract
Gas sensors have been used as the detection unit of gas analyzers. A low-cost and easy to fabricate gas analyzer can be made by integration a general purpose gas sensor with a microfluidic channel on a polymer substrate. However, ambient fluctuations influence the gas sensor characteristics and operation. In essence, these devices are vulnerable to drift since the interaction of the sensing pallet of the gas sensor with the surrounding air is a temperature- and humidity-dependent process which introduces drift terms to the output signal. These drift terms can also be considered as a controllable input while the sensor itself is considered as a multiple input and output system. In the present study, a methodology based on statistical techniques is introduced to perform the sensitivity analysis and to determine the contribution of each of the input parameters in the output response of the sensor used in a gas analyzer. A regression model is also applied to predict the response of the sensor to the temperature, humidity and the gas concentration values that have not been experimentally tested. Also, the effect of these environmental conditions on the three mentioned factors is studied using design of experiments (DOX) methods.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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".