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 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) | 0.000 | 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) | 0.001 | 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".