The Incidence of Postmenopausal Breast Cancer in Relation to Occupational Exposure to Textile Fibers and Dusts in Montreal, Canada, 2008–2011
Bibliographic record
Abstract
OBJECTIVE: This study aimed to estimate the associations between occupational exposure to textile fibers/dusts and incidence of postmenopausal invasive breast cancer. METHODS: A population-based case-control study conducted in Montreal (2008-2011) identified hospital cases (N = 695) and population controls (N = 608) from the electoral list. Occupational hygienists examined participants' occupations and tasks, and attributed exposures to several textile fibers. For all tumors and according to biomolecular subtypes, odds ratios (ORs) and 95% confidence intervals (95% CIs) were estimated using logistic regression models with different exposure indices, adjusting for potential confounders. RESULTS: Ever exposure to cotton dust was associated with an increased risk (OR, 1.42; 95% CI, 0.95-2.16) as was ever exposure to treated textile fibers before age 36 years and/or before first full-term pregnancy (OR, 1.39; 95% CI, 0.97-2.01). CONCLUSIONS: These suggestive associations and the rapid evolution of textile fibers treatment warrant additional scrutiny, especially among younger women.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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".