Bibliographic record
Abstract
Muscle stretch reflexes (MSRs) are fundamental to the neurologic examination. Although the fifth, sixth, and seventh cervical roots have appropriate and easily elicited MSRs, the C8 level does not. The C8 reflex is obtained by tapping the thenar eminence, which produces flexion at the interphalyngeal joints of the fingers. To confirm that finger flexion represented an MSR, an externally triggered hammer-skin contact set-up was employed. Surface recording electrodes were placed at one third of the distance between the medial epicondyle and ulnar styloid. This montage produced distinct T-waves with latencies compatible with a reflex arc. Normative data were collected for 75 healthy subjects (150 arms), including 15 from each of five age groups (20-29, 30-39, 40-49, 50-59, > or =60 years). Distance 1 (D1) was measured from the FPL to the C7 spinous process and distance 2 (D2) from C7 to the G1 electrode. A high median neuropathy abolished the T-wave. A distal median nerve block at the carpal tunnel had no effect. Mean latencies (+/- SD) from the respective age groups were as follows: 21.73 +/- 1.16 ms; 22.50 +/- 1.70 ms; 22.19 +/- 1.52 ms; 22.66 +/- 2.13 ms; and 23.97 +/- 1.91 ms. Reflex latencies significantly correlated with age (r = 0.33, P = 0.004), height (r = 0.51, P < 0.0001), and D1 + D2 or arc length (r = 0.74, P < 0.0001). This novel MSR is generated from the FPL tendon and stimulates contraction of the long finger flexors. It therefore represents a clinically useful C8 MSR.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".