Detecting single muscle fiber activity using a concentric needle electrode: a simulation study
Bibliographic record
Abstract
Based on the line source model, simulated concentric-needle-detected motor unit action potentials (MUAPs) were transformed into compound weight functions using inverse-average-current filtering. The numbers of significant individual muscle fiber contributions to the compound weight functions were estimated using acceleration thresholds. The ability of the technique to detect the contribution of single fibers to a MUAP was evaluated. For fibers that contributed muscle fiber action potentials (MFAPs) with maximum slopes larger than 2.4 V/s to a MUAP, the correlation between the expected number of contributing fibers and the number measured was 0.95 and no significant bias existed. The spatial distribution of fibers that could be detected was found to be approximately semicircular with a radius of 300 /spl mu/m. This capacity to detect the activity of single fibers will allow the concentric needle electrode to be used in ways comparable to that of the single fiber electrode.
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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 | 0.001 | 0.003 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".