Design for testing SU-8 and PDMS based hybrid glucose sensor
Bibliographic record
Abstract
In this paper, a test method for testing SU-8 and PDMS based hybrid glucose sensor with gold electrodes sandwiched between the two SU-8 layers is presented. Poly dimethylesiloxane (PDMS) and SU-8 is used as a flexible and bio-compatible sensor substrate material. Furthermore, SU-8 and PDMS is optically transparent and haemocompatible which is very important for implantable sensors. Different methods for testing glucose sensors are mentioned in a separate section. These test methods are categorized in different sections namely, material related tests, fabrication related tests, electrochemical related test and glucose response tests. And each test section is sub-categorized in appropriate sub-sections. The bottom PDMS layer of the sensor is ~500 mum thick and both SU-8 layers are ~100 mum. Each sensor chip is 5.5 mm X 10.5 mm in size with 2 mm X 3 mm for the actual sensor area. Resistance of the successfully fabricated gold electrodes is measured between 1 to 5 mOmega. The drift of the sensors are measured using phosphate buffer followed by the linearity test using the glucose solution.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".