The measurement of neuromuscular junction jitter using a concentric needle electrode: a simulation study
Bibliographic record
Abstract
Under the line-source model, ensembles of concentric-needle motor unit action potentials (MUAPs) were simulated. Neuromuscular junction jitter was simulated by delaying the initiation of muscle fibre action potentials (MFAPs) by a normal random variate. To transform the MFAP contributions to a MUAP into symmetrical, singly-peaked, positive functions, inverse-average-current filtering was applied to the MUAPs of the ensembles, producing composite weight functions. The jitter estimate, defined as the standard deviation of composite weight function interpeak intervals over an ensemble, was correlated to the standard deviation of the random variable used to delay the initiation of the MFAPs. Since normal jitter is of the order of 25 /spl mu/sec, the base sampling interval of 40 /spl mu/sec was enhanced to approximately 2 /spl mu/sec using divided-difference interpolation. It was found that the measured jitter varied approximately linearly with the expected jitter. The correlation coefficients between the expected and measured jitter were 0.97, 0.96, and 0.94 for the three MUAP ensembles studied.
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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 | 0.005 |
| 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) | 0.000 | 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 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".