Preliminary Findings for Pleural Mesothelioma among Women in the Quebec Chrysotile Mining Regions
Bibliographic record
Abstract
Introduction. We conducted a descriptive study to compare cases of pleural mesothelioma among female residents of Québec's asbestos mining regions to matched controls for residential, domestic and occupational asbestos exposures. Methods. We visited hospitals throughout the province of Québec to identify women aged ≥50 yr whose hospital records mentioned any possible mesothelioma between 1970 and 1989. Hospital records and biological materials were reviewed by three expert pathologists to identify individuals who had lived in a mining region in Québec at the time of diagnosis. For each case, 15 controls matched for year (±2) of birth and area of residence were selected from a previously interviewed sample of 817 female asbestos mining area residents alive in 1989. Relatives of the cases were similarly interviewed regarding lifetime occupational and residential histories and cohabitation with asbestos worker(s). Cumulative exposure from each source was estimated in fibers/ml-yr from indirect data. Results. We identified six ‘definite or probable’ and four ‘possible’ pleural mesothelioma cases. All resided in Thetford Mines (none in the town of Asbestos) and were born before 1935. Five cases (50%) worked in the asbestos industry (versus 2.7% of controls; relative risk = 53.8). Nine (90%) had lived with one or more asbestos workers (versus 65% of controls); six (60%) with two or more workers (versus 36% of controls). Mean cumulative exposure (residential, domestic, and occupational combined) was estimated as 226.1 fibers/ml-yr (range 84–525) for cases and 84.1 fibers/ml-yr (range 0–189) for controls, with a plausible 5-fold error on either side.
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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 | 0.002 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".