Cutaneous Vasculature of the Forearm
Bibliographic record
Abstract
In Brief Five fresh human cadavers were injected with lead oxide, gelatin, and water. Nine forearms were dissected and an overall map of the cutaneous vasculature by source vessel was constructed. The average number of arterial perforators per source vessel was calculated. The forearm was then divided into three regions, and the density of perforators per region was calculated and compared. The overall number of arterial perforators decreases from proximal to distal in the forearm, but the overall density of perforators 0.5 mm or larger remains uniform. It was observed that the distal third of the forearm has a rich supply of smaller caliber arterial perforators compared with the proximal two-thirds of the forearm. The angiographic studies demonstrate a series of arterial perforators arising from the radial and ulnar arteries. The perforators in turn are linked longitudinally with other perforators from the same source vessel and transversely with the other major vessel. An understanding of this pattern of arterial supply of the forearm integument is helpful for the design of pedicled skin flaps and perforator flaps in the forearm. Five injected fresh forearm cadaver dissections demonstrated a decreasing density of linked arterial perforators from proximal to distal. However, the distal third of the forearm was found to have a richer supply of smaller-caliber arterial perforators.
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How this classification was reachedexpand
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".