A Permittivity-Sensitive Sensor with a Sensing Area based on a Resonator with Two Legs Stretched Inwards
Bibliographic record
Abstract
In this work, an antenna-based sensor is proposed to monitor permittivity variation. On FR4 epoxy of 12x12x1.5 mm3, our structure was designed, and then validated on HFSS (High Frequency Structure Simulator) software and CST (Computer Simulation Technology). The feed line of antenna and the sensor detection zone were etched on the top and bottom of the substrate, respectively. To distribute the maximum E-field in the detection zone, a slot based on resonator with two legs stretched inwards (RTLSI) was introduced on the ground plane of our antenna. To test the sensor’s sensitivity, MUTS (Material Under Test) were putted alternatively on the RTLSI slot. The sensor’s sensitivity was estimated by a polynomial of third degree. This sensor is able to detect a relative permittivity variation with sensitivity equal to 1.2 to 6.3 times the sensitivity of sensors presented in previous works; in addition, the size of sensor was reduced.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.002 | 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".