An immunohistochemical study on the arrangement of sympathetic fibers within the human common fibular nerve
Bibliographic record
Abstract
Physiologists often use muscle sympathetic neural activity (MSNA) in the common fibular nerve (CFN) to measure sympathetic drive within lower limb peripheral nerves. It is understood that significant alterations in MSNA activity occur with age, diabetes, and vascular disease. Little is known, however, about sympathetic fiber distribution in the lower limb nerves of humans. In order to describe the general sympathetic arrangement in the CFN, immunohistochemical techniques were used on 5μm transverse sections of formaldehyde‐fixed CFN taken from human cadavers within 24 hours of death. By staining for tyrosine hydroxylase the arrangement and number of sympathetic fibers can be determined. From microneurographic records it is hypothesized that the sympathetic fibers are arranged in randomly dispersed bundles, each of approximately 10–40 fibers. Results from this study will quantify autonomic fiber distribution in the CFN. This will better enable physiologists to relate autonomic neuroanatomy to microneurographic outcomes in the CFN. Grant Funding Source : Departmental
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".