Microwave Characterization and Probe Sensing: Parametric Study with Skin Phantom Thickness
Bibliographic record
Abstract
Novel microwave and millimeter-wave devices have been recently investigated as promising diagnostic aids for skin anomaly detection. These devices rely on knowledge of skin dielectric parameters. Skin thickness varies with body location, and, hence, the goal of our work is to characterize the dielectric skin properties in the microwave range as a function of skin thickness. To do so systematically, and in a controlled laboratory environment, we developed skin phantoms models ranging from 0.5 mm to 5 mm in thickness, with 0.5 mm increments. These phantoms are placed on a fat-mimicking material and then characterized with the Keysight slim form probe over the 0.5–2.6 GHz range. Our results indicate that skin thickness, usually known from extensive anatomical resources, should be taken into account for proper interpretation of eventual dielectric characterization in vivo, as the probe's sensing volume is likely to include a complex, multi-tissue dielectric distribution.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".