Bibliographic record
Abstract
Cancer is a disease that affects all people regardless of culture, socio-economic background, race, gender, and age. Although cancer is rare among those younger than 20 years of age, childhood cancers rank fourth as a cause of death (Gloeckler-Ries, Percy, & Bunin, 1999). Although over the past two decades childhood cancer mortality has declined dramatically, unfortunately, the rate of cancer incidence among adolescents, in the United States, has increased from 183 per million in 1975-79 to slightly over 203.8 per million in 1990-95 (Smith, Gurney, & Gloeckler-Ries, 1999). According to the National Cancer Institute (1999), the incidence of cancer among adolescents (1519 year-olds) is substantially greater than the incidence of cancer among children younger than 15 years of age. Survival rates for adolescents with cancer vary depending on the type of cancer from 22% for individuals with acute myeloid leukemia to 90% for those with Hodgkin's disease-germ cell tumors, thyroid carcinoma, and melanoma (Smith, Gurney, & Gloeckler-Ries, 1999).
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".