Anatomical Detail and Accuracy of the Pernkopf Atlas and Examples of Clinical Impact
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The high fidelity anatomical structural detail seen in the Pernkopf atlas remains unmatched in other references, including surgical anatomy atlases. An example of serial dissection illustrations are examined herein, in relation to an anatomically based clinical question. The question is about radiofrequency nerve ablation, an image-guided procedure that provides a non-opioid alternative to treat joint pain. To perform these image-guided procedures effectively, the location and course of the nerve(s) being targeted is very important. Although the patient had good pain relief, the clinician was concerned about the patient's loss of sensation around the anus following an ablation procedure of the nerves innervating the sacroiliac joint, and asked for more information about the clunial nerves and their relevance to this procedure. The anatomical illustrations in the Pernkopf atlas are highly detailed and drawn from serially dissected specimens from the skin superficially to the level of the origin of the nerves from the vertebral column deeply. Tracing the clunial nerves through five serial illustrations provided the necessary anatomical insight required to answer this clinical question for development of the ablation procedure. This atlas could play a significant role in educating future clinicians and surgeons and provide answers to anatomically related clinical quandaries. However, the atlas must always be used by first acknowledging its origins and history.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 it