Bibliographic record
Abstract
Colon cancer, specifically hereditary nonpolyposis colorectal cancer, and breast cancer are malignant diseases that show some degree of genetic inheritance, as do cystic fibrosis, Duchenne muscular dystrophy, and neurofibromatosis. In fact, humans are afflicted by nearly 4000 genetic diseases, and the possibility exists that knowledge of a person’s genetic code could allow us to prevent or cure some of them. Cancers arise from a multistep process involving the interplay of multiple changes, or mutations, in several different genes, in combination with environmental factors such as diet or lifestyle. In the most common, noninherited forms of cancer, the genetic changes are acquired after birth. But people who have a hereditary risk for cancer are born with one or more altered genes — in other words, they are one step along the road to cancer from birth. Women in general have a 10% risk of breast cancer and a 2% to 3% chance of ovarian cancer sometime in their lifetime. With regard to breast cancer, mutations in the BRCA-1 and BRCA-2 genes are present in only a small portion (5% to 10%) of all cases, but carriers of mutations in these genes have a greater risk of cancer, especially before menopause. Similarly, in hereditary nonpolyposis colorectal cancer, children who inherit an altered gene from either parent face a 70% to 80% chance of developing this disease, usually at an early age. In treating a genetic disease, the first question that must be answered is, Which altered gene causes the disease? Two related questions are, What protein does this gene normally produce? and Can the altered protein or gene be fixed or replaced? Determining the answer to the first question is often difficult, because few clues exist as to where, on any of the 23 pairs of chromosomes, the altered gene resides. However, as a result of the Human Genome Project, the altered genes for many genetic diseases have now been identified. These discoveries offer a preview of how the Human Genome Project is likely to transform medicine by opening up new approaches to prevention. The earliest beneficiaries will be individuals and families who face a very high risk of cancer. First, for those who choose to take it, will come a simple blood test to determine if they carry the altered gene or genes. In the case of hereditary nonpolyposis colorectal cancer, individuals found to carry an altered gene would likely receive counselling to adopt a high-fibre, low-fat diet in the hope of preventing the cancer. They would also be advised to undergo yearly colon examinations starting at about age 30. Such exams should help to detect any Treating Genetic Disease
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.037 | 0.015 |
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".