Do work-related breast cancer risks in pre-menopausal women depend on family history?
Bibliographic record
Abstract
Our objective was to determine work-related pre-menopausal breast cancer risks that depend on a woman's family history of the disease. In a large case-control study, 318 women with breast cancer and 340 healthy women completed a mailed questionnaire. All of the women were pre-menopausal and controls were matched to cases by age. All risk estimates were adjusted for women's smoking history and whether they reported a prior breast biopsy. There was an odds ratio (OR) of 6.9 (95% confidence interval: 1.5-31.9) for breast cancer among pre-menopausal women with no family history if they ever worked in material processing occupations. Among women with a family history of breast cancer, there was an OR of 6.4 (0.7-55.9) if they ever worked as miscellaneous salesclerks and salespersons of commodities, and an OR of 5.7 (0.6-50.9) if they ever worked in department stores. Despite changes in the OR, none of the estimates were significantly different in women with and without a family history.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".