Bibliographic record
Abstract
The discovery of viruses is tightly linked to the most significant advances in Molecular cell biology, including cancer research. Cell division is a fundamental biological phenomenon, therefore it is not surprising that human cancer is an evolutionarily ancient disease, that attracted attention in early civilizations. The remains of a 4 million-old fossilized hominid show evidence of bone tumors (Diamandopoulos, 1996), while some of the oldest written accounts of cancer are recorded in the code of Hamourabi (1750 BCE), Egyptian papyri (1600 BCE) and others. Unfortunately, in ancient Egypt knowledge was the realm of priests, so the writings of the time attributed the etiology of disease to the “will of Gods”. In ancient Greece, medicine was freed from the bonds of religion; Hippocrates (460-370 BCE) tried to use logical thinking to propose the humoral theory of cancer and his ideas influenced philosophers and scientists for the next ~1,800 years. During this time, knowledge of Mathematics and Physics was remarkably advanced; the acoustics of amphitheaters, built in the 5th century BC are as good as the best of today’s structures. Still, these amazing minds believed in spontaneous generation of life, a theory that lasted till Louis Pasteur (1822-1895) who demonstrated that living things cannot be generated automatically (Javier and Butel, 2008).
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".