Glycerol Concentration Monitoring Using High-resolution Non-contact RF Sensor
Bibliographic record
Abstract
In this paper, a novel high-resolution non-contact real-time method for glycerol concentration measurement has been proposed. Glycerol concentration is an important biomarker for many diagnostic applications, such as indication of hyperglyceridemia. The proposed sensing platform is based on a loss-compensated chipless tag that is coupled to the reader resonator and active feedback loop. The reader is designed at 2.6 GHz coupled to an active microwave amplifier to compensate and the tag is designed at 1.6 GHz which is located at 2.5 mm vertical distance from the reader. The high level of sensitivity of the highresolution tag resonance makes it suitable for low concentration and small variation chemical sensing. The proposed disposable sensor demonstrates a frequency shift of 36.4 kHz when the concentration of glycerol in deionized (DI) water changes from 122 mg.lit-1to 0 mg.lit-1which highlights the capability of glycerol concentration sensing in the human body range.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".