The Anatomical Specificity Between Acupoints and the Facial Nerve: A Cadaveric Study
Bibliographic record
Abstract
Objective: This research was conducted to increase precision of point location and standardize acupoint targets in relation to the facial nerve (CN VII). Materials and Methods: A literature review, cadaver dissection, and electrostimulation of the CN VII were performed, focusing on the anatomical locations of the acupoints along the facial-nerve trajectory. The results were contrasted against established acupoint locations described in the 4th edition of Results: at the frontotemporal branch; Gallbladder (GB)-3 at the zygomatic branch; Small Intestine (SI)-18 at the buccal branch; Stomach (ST)-5 at the marginal mandibular branch; SI-17 at the cervical branch; TE-18 at the posterior auricular branch; TE-19 at the posterior auricular nerve; TE-20 at the superior auricular nerve; and TE-22 at the anterior auricular nerve. Conclusions: This study demonstrated the specificity with which acupuncture points are located in relation to the facial nerve. Standardization of facial acupuncture points to distinct branches of the facial nerve will facilitate reproducible research designs and interpractitioner reproducibility.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".