Systems for ultra-wideband microwave sensing and imaging of biological tissues
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Microwave interrogation of biological tissues involves measuring very weak signals from a highly reflective object. This requires special ways to collect the signals and methodology to improve sensitivity. In the literature, numerous designs for ultra-wideband antennas intended for biological sensing applications have been reported [1-4]. When deploying sensors in prototype systems, an additional level of complexity arises when the system needs to adapt to the human body, which varies in size and shape from patient-to-patient [5]. At the University of Calgary we have developed two different systems targeted to breast imaging using ultra-wideband (UWB) signals [6,7]. Based on our experience in developing these systems and our initial testing with breast cancer patients and volunteers, we identified the need for different approaches to data collection.
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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 it