Severity of Silicosis at Compensation Between Medically Screened and Unscreened Workers
Bibliographic record
Abstract
OBJECTIVE: Most developed countries have medical surveillance programs for some of the workers (typically miners) exposed to silica, but the impact of these programs is not documented. METHODS: Clinical data from 1388 compensated silicotic workers in Quebec, Canada, were used. The severity of disease at compensation was compared between workers in the surveillance program and those who were not. RESULTS: Predicted vital capacity at less than 80% at compensation was less likely among workers under surveillance than among those who were not (odds ratio = 0.59; 95% confidence interval 0.44-0.80); the occurrence of a radiological image with large opacities and profusion of category 1/1 or more was also less likely in the group with surveillance (odds ratio = 0.60; 95% CI = 0.39-0.92). CONCLUSIONS: The data indicate a benefit from medical surveillance but alternative explanations are discussed.
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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 | 0.004 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".