Estimating the Efficiency of Antennas Used as Sensors in Microwave Tissue Measurements
Bibliographic record
Abstract
A measurement-based method to evaluate the efficiency of antennas used in microwave tissue imaging is proposed. The method is versatile and, in principle, applicable to antennas operating in free space as well. Two identical antennas are employed, one transmitting and the other one receiving. A signal flow graph (SFG) is developed for the two-port network formed by the antennas and the medium between them. The medium's electrical properties mimic those of tissue and can vary according to the application. Several measurements are performed with one of the antennas being loaded with known loads. A system of equations is constructed from the acquired data. The solution of this system produces the efficiency of the antenna in addition to other unknown parameters of the SFG. The efficiencies of two antennas are estimated from measured and simulated data and are verified through comparisons.
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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 | 0.000 |
| 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 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".