Bibliographic record
Abstract
Foreword Chapter 1: Management of Dyspnea Jay R. Thomas Chapter 2: Skeletal Metastases: Optimal Management in 2007 John Kosteva and Corey Langer Chapter 3: Cancer Pain Stuart A. Grossman and Suzanne A. Nesbit Chapter 4: Anorexia and Cachexia Takao Ohnuma and James F. Holland Chapter 5: Fatigue Michael Fisch Chapter 6: Pathogenesis and Management of Venous Thromboembolism in Cancer Michael B. Streiff Chapter 7: Depression in Cancer Patients Jimmie C. Holland and Yesne Alici-Evcimen Chapter 8: Anemia George M. Rodgers Chapter 9: Neutropenia Jeffrey Crawford Chapter 10: Nausea and Vomiting Tara Lin and David S. Ettinger Chapter 11: Oral Mucositis Nathaniel Treister and Stephen Sonis Chapter 12: Diarrhea and Constipation: Supportive Oncology Management Al Benson, III and Regina Stein Chapter 13: Menopausal Symptoms Debra L. Barton, Aditya Bardia and Charles Loprinzi Chapter 14: Supportive Care of the Older Cancer Patient Lodovico Balducci Chapter 15: Integrative Oncology: Complementary Therapies in Cancer Care Barrie Cassileth and Jyothirmai Gubili Chapter 16: End of Life Decisions Sydney Morss Dy
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".