The recurrent artery of Heubner: Otto Heubner's description of the artery and his influence on pediatrics in Germany
Bibliographic record
Abstract
Although the recurrent artery of Heubner is one of the best known cerebral arteries, little has been written in the neurosurgical or anatomical literature about its discovery. The artery is of primary importance to cerebrovascular surgeons, who identify it during clipping of anterior communicating artery aneurysms. Johann Otto Leonhardt Heubner (1843-1926), who described this artery in 1872, is better known as the father of German pediatrics. He was appointed to the first professorship in Germany exclusively devoted to pediatrics at the Charité Children's Clinic of Berlin University. Although he initially studied internal medicine in Leipzig under Carl Reinhold August Wunderlich and Ernst Leberecht Wagner, his early research involved anatomical studies of the circulation of the brain, from which he described syphilitic endarteritis (Heubner's disease). Finding morphological studies inconclusive, he turned to more physiological experiments. Together with the physiologist Max Rubner, Heubner performed important studies on energy metabolism in infancy, creating the notion of the nutrition quotient. In this article the authors review Heubner's life and scientific discoveries.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".