Bibliographic record
Abstract
Liver cancers are complex neoplastic diseases with varied etiologies. Despite numerous research programs and clinical trials targeting several molecules in the last 50 years, hepatocellular carcinoma, the most common form of liver cancer, is still difficult to cure, and has become the second most common cause of cancer-related deaths in adults. This, at least in part, is due to the rising incidence of obesity, non-alcoholic fatty liver diseases, and excessive alcohol consumption. An adequate knowledge of the disease, including its etiology and pathology, is essential to develop effective therapies. Contributed by some of the leading hepatologists and pathologists in the field, this book is an effort to provide students, basic scientists, clinicians, and pathologists with a comprehensive understanding of the pathology, diagnosis, treatment, and management of various types of liver cancers. There are nine chapters in the book. Chapter 1 provides a comprehensive review of malignant epithelial tumors of the liver in children and adolescents. Hepatocellular carcinoma, lipid-rich hepatocellular carcinoma, fibrolamellar carcinoma, and cholangiocellular carcinoma are discussed. CONTINUE READING.....
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.384 | 0.271 |
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".