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
Abstract The myoelectric signal or electromyogram (EMG) is recorded during voluntary contraction of skeletal muscle. Surface EMG (sEMG) is detected at the skin surface using electrodes attached to the skin over the muscle of interest. The resultant signal varies randomly about a zero mean value. This signal can be processed to provide information concerning the physiological and the biomechanical state of the muscle. This article covers two major processing paradigms—amplitude estimation and spectral analysis. sEMG amplitude estimation involves estimating the time‐varying standard deviation of the signal. Amplitude estimators from the simple integrated EMG to more complicated estimators, involving prewhitening filters, multiple channels of sEMG, and adaptive smoothing, are covered. Spectral analysis of sEMG is done to characterize the signal in the frequency domain, Fourier analysis of stationary sEMG, recorded during isometric, isotonic contractions, and time‐frequency analysis of nonstationary sEMG recorded during dynamic contractions, are discussed.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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