On the Benefi ts and Harms of Mammography for Breast Cancer Screening in Korean Women
Bibliographic record
Abstract
As breast cancer is becoming more prevalent in Korean women, mammography screening for early cancer detection is very important. However, risks, including over-prescription of mammography screening, have been emphasized recently. The governments of Canada and the USA have reported that women younger than 50 years of age do not need to be screened routinely. The main reason for this recommendation is that the risk of over-diagnosis and biopsy may be greater than the benefit of decreasing mortality in younger women. Korean women have a 1/3 lower incidence rate than non-Hispanic White women, and the peak age group in Korean and USA women are 45 to 49 and 75 to 79 years, respectively. These epidemiological findings indicate that Korean women have a higher risk of unnecessary interventions and anti-cancer treatment as they have a higher chance of false positive in screening mammography. These results suggest that the national screening guidelines for Korean women should be adapted and screening mammography in normal risk healthy women should be optional.
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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 | 0.004 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".