Bibliographic record
Abstract
Kufe DW, Pollock RE, Weichselbaum RR, Bast RC, Gansler TS, Holland JF, Frei E, editors. Cancer medicine 6. Hamilton, Ontario: BC Decker, Inc., 2003. $299.00 What are the characteristics of a successful “comprehensive textbook of oncology”? First, it must cover all major areas of cancer, including rapidly evolving and innovative approaches to the management of malignant disease. Second, the chapters need to be authored by respected authoritative figures within their respective disciplines, such that readers know that both the “standard-of-care,” as well as all controversial issues in a particular area, have been discussed appropriately in a unbiased manner. Finally, all sections should be well written and logically organized with limited (but appropriate) overlap, and have a detailed index for easy reference. The sixth edition of Cancer Medicine meets and exceeds these requirements. With its previous five editions, this oncology textbook has become one of the “gold standards” for practicing oncologists, clinical investigators, generalists interested in malignant disease, and trainees. The editors are leading figures in cancer medicine, and the the more than 300 authors who contribute represent a virtual “Who's Who” in the world of oncology. The book is superbly written and extremely well organized (41 sections and 162 individual chapters), includes an excellent index (40 pages in length), and reveals the considerable experience of the editors and publisher, as well as their clear understanding of the needs of both clinicians and cancer investigators. Furthermore, the text includes an appropriate mix of basic science and clinical medicine. As with previous editions, the sixth edition should (and will) find its proper place on the bookshelf of all those who have a need for a definitive and truly comprehensive oncology text.
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 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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.385 | 0.310 |
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".