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
In this work, we employed the XeThru X4M300 radar to generate and receive Ultra-Wideband (UWB) signals for human activity recognition in indoor environments. The XeThru X4M300 pulse-Doppler radar module operates at a configurable carrier frequency of either 7.29 GHz or 8.42 GHz, providing a high-resolution solution specifically suited to indoor applications such as human presence monitoring, motion tracking, and security. Its UWB pulse transmission enables enhanced range resolution, crucial for accurately distinguishing between multiple human activities. Key attributes of X4M300 radar include its adaptability for customized settings, such as adjustable detection range, frame rate, pulse count per step, and sweep iteration. These configurable parameters allow precise optimization for various applications, maximizing signal clarity and robustness. Additionally, the radar module is equipped with digital down-conversion, advanced filtering, and data rate optimization capabilities, enhancing both signal processing efficiency and data fidelity, which are essential in radar-based human activity recognition tasks where real-time, high-quality data capture is critical.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.848 |
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